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Name: 追光者
Type: User
Bio: 一个不断摸索的小白的成长之路
追光者's Projects
birads_classifier
High-resolution breast cancer screening with multi-view deep convolutional neural networks
breast-cancer-detection-web-app
SVM (Support Vector Machines) is used to build and train a model using human cell records, and classify cells to predict whether the samples are benign or malignant and display output using Flask Application On Heroku
breast_cancer_detection
Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.
breast_mri_fusion
[CVAMD 2021] "End-to-End Learning of Fused Image and Non-Image Feature for Improved Breast Cancer Classification from MRI"
iciar2018
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)
mammography_metarepository
Meta-repository of screening mammography classifiers
modnet
A Trimap-Free Portrait Matting Solution in Real Time [AAAI 2022]
multi-scale-curriculum
Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
p3m
[ACM MM 2021] Privacy-Preserving Portrait Matting
practice
C算法提高
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