An effective image-based tomato leaf disease segmentation method using MC-UNet

Y Deng, H Xi, G Zhou, A Chen, Y Wang, L Li… - Plant Phenomics, 2023 - spj.science.org
Tomato disease control is an urgent requirement in the field of intellectual agriculture, and
one of the keys to it is quantitative identification and precise segmentation of tomato leaf …

FTMF-net: A Fourier transform-multiscale feature fusion network for segmentation of small polyp objects

G Liu, Z Chen, D Liu, B Chang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The detection and resection of small polyp objects in colonoscopy images are of great
significance for the prevention of colorectal cancer (CRC). At present, blurred edges …

Semi-supervised OCT lesion segmentation via transformation-consistent with uncertainty and self-deep supervision

H Shen, Q Yang, Z Chen, Z Ye, P Dai… - Biomedical Optics …, 2023 - opg.optica.org
Optical coherence tomography (OCT) is a non-invasive, high-resolution ocular imaging
technique with important implications for the diagnosis and management of retinal diseases …

Swinvftr: A novel volumetric feature-learning transformer for 3d oct fluid segmentation

SA Kamran, KF Hossain, A Tavakkoli, SA Baker… - arXiv preprint arXiv …, 2023 - arxiv.org
Accurately segmenting fluid in 3D volumetric optical coherence tomography (OCT) images is
a crucial yet challenging task for detecting eye diseases. Traditional autoencoding-based …

Deep representation learning with limited data for biomedical image synthesis, segmentation, and detection

SA Kamran - 2023 - search.proquest.com
Biomedical imaging requires accurate expert annotation and interpretation that can aid
medical staff and clinicians in automating differential diagnosis and solving underlying …