Encoder–Decoder Variant Analysis for Semantic Segmentation of Gastrointestinal Tract Using UW-Madison Dataset

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Dettagli Bibliografici
Pubblicato in:	Bioengineering vol. 12, no. 3 (2025), p. 309
Autore principale:	Sharma, Neha
Altri autori:	Gupta, Sheifali, Elkamchouchi, Dalia H, Bharany, Salil
Pubblicazione:	MDPI AG
Soggetti:	Accuracy Decoders Public health Datasets Deep learning Digestive system Cancer therapies Radiation therapy Medical imaging Image processing Gastrointestinal tract Tumors X-rays Semantic segmentation Automation Localization Performance evaluation Coders Stomach Organs Intestine Image analysis Nutrients Image segmentation Cancer Magnetic resonance imaging Small intestine Anus Medical research Side effects Semantics Gastrointestinal system
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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