BCDU-Net : Medical Image Segmentation
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Updated
Jan 30, 2023 - Python
BCDU-Net : Medical Image Segmentation
AI-based pathology predicts origins for cancers of unknown primary - Nature
This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.
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%
simple brain tumor detection using DCNNs
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/zhuchuang/en/index.htm
Predict survival time from PET scans
This repo is dedicated to the medical reserach for skin and breast cancer and brain tumor detection detection by using NN and SVM and vgg19
Tissue Cancer Segmentation project using multiple segmentation networks
It's Object Detection That Detects Lung Cancer (Soon it would be more, i hope)
Colon cancer segmentation based on 3D CT scans with U-Net.
2020 - Machine Learning License Project
Detecting various characteristics of glioblastoma using Deep Learning
This Project is a 7 Layer CNN Model consisting of 3 Convolution layers each followed by a Max Pooling Layer and Fully Connected layer on Breast Ultrasound Images to classify them as Benign, Malignant and Normal stages.
LesNet (Lesion Net) is an open-source project for AI-based skin lesion detection. It aims to create a reliable tool and foster community involvement in critical AI problems. Contributions are welcome!
Pre-Processing Segmentation Datasets for the Hydra Framework. Contains preprocessing scripts and a module capable of creating segmentation masks
Cancer detection system based on breast histology images
A machine-learning model that uses a convolutional neural network to classify lung tumors in CT scans, which will help detect lung tumors that might have went unnoticed
The souce code of MICCAI'23 paper: Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation
An experiment using neural networks to predict obesity-related breast cancer over a small dataset of blood samples.
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