1,133 skills found · Page 1 of 38
xmengli / H DenseUNetTMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
zsdonghao / U Net Brain TumorU-Net Brain Tumor Segmentation
neheller / Kits19The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge
binli123 / Dsmil WsiDSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
Rubics-Xuan / TransBTSThis repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).
IAmSuyogJadhav / 3d Mri Brain Tumor Segmentation Using Autoencoder RegularizationKeras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
MrGiovanni / SyntheticTumors[CVPR 2023] Label-Free Liver Tumor Segmentation
taigw / Brats17Brain tumor segmentation for MICCAI 2017 BraTS challenge
MohamedAliHabib / Brain Tumor DetectionBrain Tumor Detection Using Convolutional Neural Networks.
google / DeepsomaticDeepSomatic is an analysis pipeline that uses a deep neural network to call somatic variants from tumor-normal and tumor-only sequencing data.
prov-gigatime / GigaTIMEGigaTIME: Multimodal AI generates virtual population for tumor microenvironment modeling (Cell)
sdsubhajitdas / Brain Tumor SegmentationBrain Tumor Segmentation done using U-Net Architecture.
IOBR / IOBRIOBR is an R package to perform comprehensive analysis of tumor microenvironment and signatures for immuno-oncology. https://iobr.github.io/IOBR/
himashi92 / VT UNet[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
cv-lee / BraTsPyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)
junqiangchen / LiTS Liver Tumor Segmentation ChallengeLiTS - Liver Tumor Segmentation Challenge
Mehrdad-Noori / Brain Tumor SegmentationAttention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation
Danko-Lab / BayesPrismA Fully Bayesian Inference of Tumor Microenvironment composition and gene expression
MrGiovanni / DiffTumor[CVPR 2024] Generalizable Tumor Synthesis - Realistic Synthetic Tumors in Liver, Pancreas, and Kidney
CODAIT / Deep HistopathA deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
