BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
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Updated
Mar 9, 2024 - Python
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN
Detect Breast Cancer using ANN and Random Forest
Code for published article in PLOS ONE. Breast cancer detection in mammograms using DL techniques. Contains source code for data and methods used.
An implementation of the Multilayer Perceptron for breast cancer detection using the Wisconsin diagnostic dataset.
The implementation of our pricai18 paper "Multiple Visual Fields Cascaded Convolutional Neural Network for Breast Cancer Detection."
Streamlit application to classify cancer as malignant or benign.
Self-Supervised Vision Transformers for Breast Histopathology Image Embeddings in Invasive Ductal Carcinoma Detection
Dissertation completed for the award of MSci in Computer Science. This dissertation is about automated breast cancer detection in low-resolution whole-slide pathology images using a deep convolutional neural network pipeline.
Machine Learning Class Project - Spring '22: Breast Cancer Prediction from Mammograms using Autoencoders to solve class imbalance problem
malignant or benign
Deep learning model for detection of breast cancer with superior accuracy from fine needle aspirate reports of patient.
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