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BCDU-Net : Medical Image Segmentation
lstm
unet
keras
medical
bcdu-net
semantic
abcdu-net
unet-keras
segmentation
deep-learning
cancer-detection
lung-segmentation
medical-application
semantic-segmentation
medical-image-processing
skin-lesion-segmentation
convolutional-autoencoder
medical-image-segmentation
retinal-vessel-segmentation
convolutional-neural-networks
Created
2019-06-22
166 commits to master branch, last one 2 years ago
Brain Tumor Detection Using Convolutional Neural Networks.
Created
2019-08-30
9 commits to master branch, last one 5 years ago
Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.
Created
2020-11-07
305 commits to main branch, last one 3 years ago
AI-based pathology predicts origins for cancers of unknown primary - Nature
Created
2020-06-19
26 commits to master branch, last one 3 years ago
Awesome artificial intelligence in cancer diagnostics and oncology
Created
2019-07-16
153 commits to master branch, last one 2 years ago
1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchua...
Created
2021-07-30
19 commits to main branch, last one about a year ago
This CNN is capable of diagnosing breast cancer from an eosin stained image. This model was trained using 400 images. It has an accuracy of 80%
Created
2018-01-26
12 commits to master branch, last one about a year ago
This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.
Created
2022-03-27
17 commits to main branch, last one 11 months ago