Each test image deserves a specific prompt: Continual test-time adaptation for 2d medical image segmentation
Distribution shift widely exists in medical images acquired from different medical centres and
poses a significant obstacle to deploying the pre-trained semantic segmentation model in …
poses a significant obstacle to deploying the pre-trained semantic segmentation model in …
Test-Time Generative Augmentation for Medical Image Segmentation
In this paper, we propose a novel approach to enhance medical image segmentation during
test time. Instead of employing hand-crafted transforms or functions on the input test image …
test time. Instead of employing hand-crafted transforms or functions on the input test image …
Adaptify: A Refined Adaptation Scheme for Frame Classification in Atrophic Gastritis Videos
Atrophic gastritis is a significant risk factor for developing gastric cancer. The incorporation of
machine learning algorithms can efficiently elevate the possibility of accurately detecting …
machine learning algorithms can efficiently elevate the possibility of accurately detecting …
Adaptify: A Refined Test-Time Adaptation Scheme for Frame Classification Consistency in Atrophic Gastritis Videos
Atrophic gastritis is a significant risk factor for developing gastric cancer. The incorporation of
machine learning algorithms can efficiently elevate the possibility of accurately detecting …
machine learning algorithms can efficiently elevate the possibility of accurately detecting …
New Deep Learning Methods for Medical Image Analysis and Scientific Data Generation and Compression
P Gu - 2024 - search.proquest.com
Medical image analysis is critical to biological studies, health research, computer-aided
diagnoses, and clinical applications. Recently, deep learning (DL) techniques have …
diagnoses, and clinical applications. Recently, deep learning (DL) techniques have …