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A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Using convolutional neural networks for the 2019 Kidney and Kidney Tumor Segmentation Challenge
Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of…
Paper and implementation of UNet-related model.
[WACV 2024] SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation
LiTS - Liver Tumor Segmentation Challenge
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Code related to training/fine-tuning Hindi/Hinglish models.
TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Fully automated breast segmentation on Mammographies.
Breast density classification with deep convolutional neural networks
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Hypercorn is an ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
Segmentation for vertebra in MR images
A python script to help manage a Gmail inbox by filtering out promotional emails using GPT-3 or GPT-4.
Master programming by recreating your favorite technologies from scratch.
Medical image processing using machine learning is an emerging field of study which involves making use of medical image data and drawing valuable inferences out of them. Segmentation of any body o…
Identify The Presence of Tumors in Brain and Breast Scans. Segment The Detected Tumors to be Displayed as a Binary Image
U-Net for segmentation of breast tumors on ultrasound images
[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)
A jupyter notebook serverextension providing config interfaces for nbextensions.
[WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
Hands On Machine Learning with TensorFlow.js, published by Packt
Predict your Medical insurance cost!
