Medical Image Segmentation Using SegNet

Version (1,46 MB) von Kei Otsuka
How to create, train and evaluate SegNet for medical image segmentation
Aktualisiert 19 Aug 2020

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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

Zitieren als

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

Kompatibilität der MATLAB-Version
Erstellt mit R2017b
Kompatibel mit R2017b bis R2020a
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Version Veröffentlicht Versionshinweise

Fixed compatibility issue

updated to make it compatible with R2018b