AI Deep Learning for Tumor Detection

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@amirrmusavifr

Hi, I’m an AI expert with professional experience in computer vision, with a proven track record of working on complex image processing and AI/ML model development. With skill sets: • Algorithm Development: Strong understanding of computer vision algorithms and techniques, including convolutional neural networks (CNNs), object detection, image segmentation and feature extraction. • Model Training & fine-tuning: Develop and train machine learning models tailored for image analysis and visual data interpretation. I have worked on some well-known models like YOLO, RCNN, U-Net, Deeplab, ViT etc. • AI Integration: Implement and integrate AI models into existing software and hardware systems, ensuring high performance and scalability. • Data Analysis: Analyze and process large datasets of images and video feeds to identify patterns, trends, and insights. • Data Handling: Experience in handling and processing large datasets, including image and video data. Familiarity with data augmentation techniques and synthetic data generation. • Performance Optimization: Optimize algorithms and models for real-time processing and ensure they can handle large-scale data efficiently. • Programming Skills: Proficient in programming languages such as Python. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. • Tools & Libraries: Proficiency with OpenCV, scikit-image, and other relevant libraries. Experience with version control systems like Git.

@GdevDataSceince

Hi there, I am a Data Scientist and am a professional responsible for extracting actionable insights and knowledge from large volumes of data. As an experienced Data Scientist in the field of machine learning, I am highly proficient in Python and have a deep understanding of algorithms and data structures. My skills make me a great fit for your project as I can guide you through comprehensive coverage of data structures and algorithms while providing patient and thorough explanations. I have over 12-plus years of experience with Python Library Pandas, Karas, TensorFlow, NumPy, PyCharm, Py torch, Open CV, NLP, and others. With over a decade's worth of experience under my belt, including expertise in NLP, Natural Language Processing, Neural Networks, CNNs, RNNs, LSTM, GANs just to mention a few, I can provide you not only with knowledge but also how to apply it efficiently. Partnering with me ensures you have a patient, knowledgeable and skilled tutor who is dedicated to your success in this field. My top priority is to provide a high quality of work, https://www.freelancer.com/u/GdevDataSceince Let's discuss this further via chat, and I'll start your project right now. Thanks Gdev

@sabaehsan

Greetings, I see you're looking for a skilled AI/ML developer to create a deep learning pipeline specifically for detecting and segmenting liver tumors from CT images. This is a critical task, and I appreciate the emphasis on sensitivity and specificity as key metrics for evaluation. I have a solid background in developing convolutional neural networks (CNNs) and have worked extensively with medical imaging datasets. My experience in TensorFlow and PyTorch allows me to build models that not only perform well but also translate to real-world applications. I've successfully handled similar image segmentation projects, ensuring that the models are both accurate and reliable. I'm excited about the opportunity to contribute to such an impactful project and help advance tumor detection in medical imaging. Best regards, Saba Ehsan

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Deep Learning Pipeline for Liver Tumor Detection ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project requirements and I see you are looking for an AI/ML developer to create a deep learning pipeline for liver tumor detection. You don’t need to look any further; Zohaib is here to help you! My team has completed over 50 similar projects in medical imaging and segmentation. I will develop a CNN-based model focusing on sensitivity and specificity, ensuring high accuracy in tumor detection. ➡️ Why Me? I can easily build your deep learning pipeline as I have 5 years of experience in AI and machine learning, specializing in medical imaging, image segmentation, and deep learning models. My expertise includes TensorFlow, PyTorch, and handling medical datasets. ➡️ Let's have a quick chat to discuss your project in detail. I would love to show you samples of my previous work and demonstrate how I can meet your needs effectively. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Deep Learning ✅ Convolutional Neural Networks (CNNs) ✅ Medical Imaging ✅ Image Segmentation ✅ TensorFlow ✅ PyTorch ✅ Computer Vision ✅ Model Deployment ✅ Sensitivity and Specificity Analysis ✅ Data Preprocessing ✅ Neural Network Training ✅ Performance Evaluation Waiting for your response! Best Regards, Zohaib

@rosscarter1011

Hi, I have solid experience in medical signal and image processing as well as deep learning, which makes me confident I can deliver a reliable pipeline for your liver tumor detection and segmentation project. In fact, one of the projects on my profile is EEG signal classification, which received a 5-star review and demonstrates my ability to work with sensitive medical data. Here’s what I can provide for this task: Development of a CNN-based deep learning pipeline (TensorFlow or PyTorch) for liver tumor detection and segmentation from CT images. Careful design with sensitivity and specificity as primary evaluation metrics, ensuring clinical relevance. Preprocessing steps tailored for CT data, including normalization and augmentation strategies to improve robustness. Clear, well-commented code (Python, Jupyter Notebook) covering preprocessing, training, validation, and evaluation. A concise report summarising results, interpretation of metrics, and recommendations for deployment. With my background in AI, computer vision, and medical data analysis, I can ensure a high-quality solution that is both accurate and reproducible. Looking forward to discussing your dataset and expected outcomes in more detail. Best regards.

@zahidhasta

Hi, I will develop a deep learning pipeline for liver tumor detection and segmentation from CT scans using CNNs (U-Net, nnU-Net, or similar) in PyTorch/TensorFlow, with a strong focus on high sensitivity and specificity. I have prior experience in medical image segmentation, including working with CT datasets and optimizing models for clinical relevance. Let’s discuss your dataset and evaluation criteria message me to begin. Best regards, Zahid Hassan

@Techroj

Dear Client, Greetings!! I have gone through the project description, and found that all of the mentioned requirements fall over my expertise, as I have hands-on experience on python, AI/ML, Data Science, software building, etc. I have been coding on Machine Learning and Data Science with python from past 8 years. I have the experience of working with 4 giant tech companies, including freelancing on upwork, fiverr and freelancer. Hope to hear from you soon!!. Regards, Rojan

@Ahmed8033

Hello, I have masters degree in Robotics and have very good understanding of Computer Vision and Image Preprocessing. I have recently developed a CNN based Brain Tumor Detection and Segmentation with accuracy of 96%. I can also do your task of liver tumor detection based on TensorFlow. Please let me know your timeline for your project.

@MZITSERVICES

Hi there, I am A.R.M. MASUD, with a strong Data Science background. As a Python developer, I have extensive experience building robust, scalable, and efficient solutions that address various business needs. I understand the importance of delivering high-quality, well-architected code, and I am committed to working closely with you to ensure the success of this project. I implement core functionality using Python, utilizing relevant libraries and frameworks such as Pandas, NumPy, GUI, SciPy, Matplotlib, Seaborn, Plotly, Scikit-learn, TensorFlow, Keras, PyTorch, spaCy, Flask, Django, FastAPI, OpenCV, and Jupyter. I am a professional responsible for extracting actionable insights and knowledge from large volumes of data through Machine Learning models, including CNNs, RNNs, LSTMs, GANs, Transformers, FNNs, ANNs, and DNNs. I conduct comprehensive unit, integration, and performance testing to ensure the solution is error-free and optimized. https://www.freelancer.com/u/MZITSERVICES I appreciate the opportunity to submit this proposal and am excited about the possibility of working with you to bring your project to life. Thanks A.R.M MASUD

@gracew20

As an experienced data scientist with a background in computer science and biostatistics, I am confident that I possess the skills and expertise necessary to develop a highly effective deep learning model for tumor detection and segmentation from CT images. My proficiency in TensorFlow and PyTorch combined with my strong grasp on computer vision will enable me to design a solution that is sensitive and specific, ensuring maximum accuracy and reliability. Moreover, my extensive experience in handling medical datasets - such as radiographic imaging - for research purposes aligns perfectly with your project requirements. I have a proven track record of effectively developing and deploying AI models, which further solidifies my capability for this task. Most importantly, I am fully aware of the importance of your research, as it deals with potentially life-saving applications. I understand that precision and reliability are paramount in medical imaging tasks. Hence, my commitment to quality assurance through rigorous evaluation metrics will be reflected in every step of the project. Let's collaborate and bring this meaningful project to fruition!

@khuzaima024

Hi, I have strong expertise in deep learning with TensorFlow/PyTorch and extensive experience in medical imaging projects, including tumor detection and segmentation. I’ve developed CNN-based pipelines optimized for sensitivity and specificity, tailored for clinical use. I can deliver a robust liver tumor detection model with clear documentation and deployment support. Let Discuss !!

@Web1devloper

With my extensive and proven background in data analytics and science, particularly in machine learning and working with complex medical datasets, I believe I am the ideal candidate for your AI Deep Learning project. Over my 8+ years' experience, I've developed a deep understanding of AI-based segmentation, predicted models, and image analysis techniques that are central to your project. My fluency with TensorFlow/PyTorch and powerful skills in Python make me fully capable of building a robust deep learning pipeline for tumor detection and segmentation from CT images. Importantly, I don't just excel in building ML models; rather, my strength lies in fully unlocking the potential of data to provide actionable business insights. In line with this, I can offer additional value by developing dynamic dashboards using tools like Power BI or Tableau, which can be used to track and visualize your tumor detection outcomes. Deadline-driven and with a consistent record of delivering impactful projects, I'm eager to leverage my skills to contribute significantly to your tumor detection project. Let's discuss how we can revolutionize tumor detection together!

@haziqhassanfawad

Hi Razan A., I am excited about your project on deep learning pipeline development for liver tumor detection and segmentation from CT images. With over 5 years of experience in AI and ML, I specialize in building deep learning models using Convolutional Neural Networks (CNNs) focusing on high sensitivity and specificity. I have extensive expertise in TensorFlow and PyTorch, along with a strong background in computer vision and image segmentation tasks, particularly in the medical imaging domain. My portfolio showcases several successful projects where I developed and deployed AI models tailored for medical applications. Here are a few relevant examples of my work: [Portfolio Link](https://www.freelancer.com/u/haziqhassanfawad) I am confident that my skills and experience align well with your project requirements. Looking forward to discussing this project with you! Thanks, Haziq Hassan Fawad

@huzaifa306

With a foundation in AI/ML model development and a keen eye for detail, I am confident in my ability to build the deep learning pipeline you need for tumor detection and segmentation from CT images. My expertise in Python, alongside platforms like TensorFlow and PyTorch, aligns perfectly with the technology stack required. Moreover, I have experience dealing with medical datasets and am familiar with imaging techniques. One particular aspect crucial to your project is ensuring high sensitivity and specificity as evaluation metrics. Given my prior work on N8N and Make, I can integrate these pipelines into your workflow to acquire, process, analyze and visualize your medical data efficiently while ensuring the utmost accuracy. This means that my solution won't just deliver results, but also provide you with actionable insights that could enhance your decision-making process. Additionally, I understand the significance of an efficient system in the medical domain. Not only am I skilled at building scalable systems using AI/ML but also renowned for my user-friendly designs. I'm confident that by choosing me for this project, you'll get not only a robust deep learning pipeline but an adaptable solution that truly caters to your needs.

@Tilakbabu18

Hi dear, I have extensive experience in developing deep learning models, particularly using CNNs for image segmentation tasks. I am confident in my ability to build a deep learning pipeline for liver tumor detection and segmentation from CT images, with a strong focus on sensitivity and specificity. Let’s connect in the chatbox to discuss your project further. You can check my profile for relevant examples of my work, and I’m happy to share more details as needed. I look forward to collaborating with you.

@SolutionMart

My name is "Usama Safdar" and I am a Ph.D degree holder which means I am highly-capable to tackle this project "Content Editor " with 100 percent accuracy. I am a professional writer with over 6 years of experience in writing; Essays, Research Summaries, Thesis, Dissertation, Lab Reports and Case Studies. I always provide High-Quality Solutions within the shortest possible time with all instructions followed against very reasonable prices. I can manage works even with shortest deadlines like; "2500 words work in just 6 Hours" with very reasonable time. As a pro academic writer I am also familiar with all the referencing styles; such as APA, Harvard, OSCOLA, IEE, MLA etc. I always provide plagiarism-free solutions and as a prove I also provide "FREE Turnitin reports". For Samples, please visit my profile https://www.freelancer.com/u/SolutionMart Please message me to start the discussion. Thank You

@MohamedAitElkadi

Hey there, I will design a CNN-based pipeline (e.g., nnU-Net / attention U-Net) for liver tumor detection & segmentation from CT (DICOM) with strict focus on sensitivity and specificity, cross-validation, augmentation, and robust pre/post-processing. My expertise includes PyTorch/TensorFlow, medical image segmentation (UNet/nnU-Net), and DICOM/clinical workflow integration. I have delivered liver segmentation models using LiTS and private clinical datasets and deployed inference services in Docker/Kubernetes. With my experience, I’m sure I can finish this task in a very short time, assuring the expected results. Feel free to check my profile and contact me for more details. Regards

@TopWritingGuru

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@pablomontoro040

I hope this message finds you well. We are confident that our expertise and experience align perfectly with the requirements of this project. Please find attached all relevant documentation, including a detailed outline of our approach, timeline, and cost breakdown. Should you require any further information or have any questions, feel free to contact us at your earliest convenience. Thank you for considering our proposal. We look forward to the possibility of working together. Sincerely