Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation
Z Chen, Y Ye, Y Pan, Y Xia - arXiv preprint arXiv:2410.13472, 2024 - arxiv.org
Distribution shifts widely exist in medical images acquired from different medical centers,
hindering the deployment of semantic segmentation models trained on data from one center …
hindering the deployment of semantic segmentation models trained on data from one center …
Employing Satellite Imagery on Investigation of Convolutional Neural Network Image Processing and Poverty Prediction Using Keras Sequential Model
VN Kumar, MV Sonth, A Mahvish… - 2023 IEEE 5th …, 2023 - ieeexplore.ieee.org
The primary objective of the proposed model is that the most of the world's poorest
individuals reside in areas where national domestic assessments are used to gather info on …
individuals reside in areas where national domestic assessments are used to gather info on …
Retina Capturing Using Portable Device and Classification of Images for Prevalence of Eye Disease
K Nara, V Yada, S Bashetty, S Pallerla… - … on Communications and …, 2024 - Springer
In the healthcare field, the treatment of diseases is more effective when detected at an early
stage, a lot of attention from researchers due to its far-reaching benefits and also decreases …
stage, a lot of attention from researchers due to its far-reaching benefits and also decreases …