Medical Image Segmentation Using SegNet

How to create, train and evaluate SegNet for medical image segmentation
3,2K download
Aggiornato 19 ago 2020

Visualizza la licenza

Deep Learning is powerful approach to segment complex medical image.
This demo shows how to prepare pixel label data for training, and how to create, train and evaluate VGG-16 based
SegNet to segment blood smear image into 3 classes – blood parasites, blood cells and background.
医用画像処理において、Deep Learningは非常に強力なアプローチの一つです。

[Keyward] 画像処理・セグメンテーション・ディープラーニング・DeepLearning・デモ・IPCVデモ

Cita come

Kei Otsuka (2024). Medical Image Segmentation Using SegNet (, MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2017b
Compatibile con R2017b fino a R2020a
Compatibilità della piattaforma
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!



Versione Pubblicato Note della release

Fixed compatibility issue

updated to make it compatible with R2018b