OPTIMIZING ULTRASOUND IMAGE CLASSIFICATION THROUGH TRANSFER LEARNING: FINE-TUNING STRATEGIES AND CLASSIFIER IMPACT ON PRE-TRAINED INNER-LAYERS

OPTIMIZING ULTRASOUND IMAGE CLASSIFICATION THROUGH TRANSFER LEARNING: FINE-TUNING STRATEGIES AND CLASSIFIER IMPACT ON PRE-TRAINED INNER-LAYERS

Transfer Learning (TL) is a popular deep learning technique used in medical image analysis, especially when data is limited. It leverages pre-trained knowledge from State-Of-The-Art (SOTA) models and applies it to specific applications through Fine-Tuning (FT). However, fine-tuning large models can...

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Bibliographic Details
Main Authors: Mohamed Bal-Ghaoui, My Hachem El Yousfi Alaoui, Abdelilah Jilbab, Abdennaser Bourouhou
Format: Article
Language:English
Published: Lublin University of Technology 2023-12-01
Series:Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Subjects:
CNN
transfer learning
fine-tuning
SVM
ultrasound images
cancer classification
Online Access:https://ph.pollub.pl/index.php/iapgos/article/view/4464

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https://ph.pollub.pl/index.php/iapgos/article/view/4464

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