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
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
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%
This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.
simple brain tumor detection using DCNNs
Tissue Cancer Segmentation project using multiple segmentation networks
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
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!
Predict survival time from PET scans
Cancer Detetction Machine Learning Model
2020 - Machine Learning License Project
The souce code of MICCAI'23 paper: Combat Long-tails in Medical Classification with Relation-aware Consistency and Virtual Features Compensation
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.
An experiment using neural networks to predict obesity-related breast cancer over a small dataset of blood samples.
Cancer Classification using Bottleneck Adapters
🔍 Discover the future of healthcare with our Lung Cancer Detection Project. Using advanced machine learning techniques, we've achieved 92% accuracy in identifying lung cancer. Join us at the forefront of medical AI. 👩⚕️🌟 #AIHealthcare #LungCancerDetection
Identification of cancer-causing variants
This repository contains a deep learning model for skin cancer classification using the InceptionV3 architecture. The model was trained on the HAM10000 dataset and is designed with computational efficiency in mind. It was developed to be able to run on a CPU.
It's Object Detection That Detects Lung Cancer (Soon it would be more, i hope)
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