2 papers
eess.IV2024
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder
Ioannis A. Vezakis, Konstantinos Georgas, Dimitrios Fotiadis +1
This work introduces EffiSegNet, a novel segmentation framework leveraging transfer learning with a pre-trained Convolutional Neural Network (CNN) classifier as its backbone. Devia…
cs.CV2022
CEC-CNN: A Consecutive Expansion-Contraction Convolutional Network for Very Small Resolution Medical Image Classification
Ioannis Vezakis, Antonios Vezakis, Sofia Gourtsoyianni +3
Deep Convolutional Neural Networks (CNNs) for image classification successively alternate convolutions and downsampling operations, such as pooling layers or strided convolutions,…