Lung cancer detection using 3d cnn / 3d deep learning technique.

Hi, I hope you are doing fine. I have done many image processing and video processing projects in Matlab, Python, JAVA, etc. I already have worked with some well-known models like, YOLO, RCNN, Fast-RCNN, Faster-RCNN and etc. My PhD thesis was also visual analysis of human motion. I have also published several journal papers on the subject. You can see portfolio for my previous projects. If you are interested, Please contact with more information and we can discuss it more thoroughly. Thank you for taking time to go through my proposal and I hope to hear from you. Best regards.

Hello Sir I am Michael Samy Hannalla I have 3 years experience with deep learning and computer vision. I have excelled in visual perception for autonomous driving so I have experience in image segmentation and object detection very fluently. I am experienced with Python, PyTorch, TensorFlow, OpenCV. I haveled research teams doing research in the field of autonomous driving and we built a fully self driving car. I used YOLO, VGG, DenseNet, Darknet, NV-Seg architectures for object detection and segmentation. I am also experienced with writing research papers using latex so I can document my work well. Looking forward to this interesting project and hearing from you.

DEEP LEARNING EXPERT 6 yrs EXPERIENCE HELLO, I have understood your SPECIFICATIONS for the task. I have over 6 YEARS’ experience in this field and have adverse experience since it is my area of specialization. My skills are adequate, and I guarantee total satisfaction if I am given that chance. KINDLY HIRE ME FOR A QUALITY TASK. Thank-you!

hi i am an expert in branch of tensorflow and image processing. I am ready to discussing with you and help soon Looking forward to hearing from you. Thanks. Regards.

I recently helped a masters student (UK)!in finishing his thesis on Semantic Segmentation for Brain Tumors. I understand your problem statement very well and I have worked with GradCAM before and thus I will be able to deliver the project!