Intelligent analysis of Biomedical images course
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Updated
Feb 21, 2024 - Jupyter Notebook
Intelligent analysis of Biomedical images course
Term Project on LIDC (Lung Cancer CT Scan) dataset
Brain Tumor Segmentation using U2-Net Architecture
Deep learning for cellular and sub-cellular segmentation made easy.
Modified MobileNet-ShuffleNet-GhostNet Network for Lightweight Retinal Vessel Segmentation
Keenly optimized obliging picture analysis
Lung Preneoplasia Progression via Pathomics
Detecting of COVID-19 induced Pneumonia in Chest X-ray Images using using Modified XceptionNet
Template LaTeX de TCC Engenharia Biomédica da UNIFESP-SJC.
An entry to the ISBI 2021 Cell Tracking Challenge that uses a Mask R-CNN neural network to detect and segment cells in 2D and 3D microscopy
This repository contains all the machine learning algorithms studied in discipline "Engenharia Médica Aplicada" of Biomedical Engineering course at UNIFESP in the second semester of 2018. All the algorithms are written in both MatLab and Python Languages.
My assignments and projects concerned with Biomedical Engineering
Malaria Detection from Cell Images using Deep Learning - NasNetMobile Model
This repository contains all the algorithms studied in discipline "Calculo Numerico" of Biomedical Engineering course at UNIFESP in the second semester of 2018.
sMRI based depression classification using 3D volumetric convolutional networks
Biomedical Image Analysis with TensorFlow and DLTK
causalimages: An R package for performing causal inference with image and image sequence data
This repository contains all the image processing algorithms studied in discipline "Imagens Biomédicas" of Biomedical Engineering course at UNIFESP in the first semester of 2017. All the algorithms are written in both MatLab and Python Languages.
H&E ROI-Level and WSI-Level Nuclei Segmentation with HoVer-Net
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