140 citations · 179 across the 13 of their papers we have counts for
7 papers · 1 filter
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi +2
Deep learning (DL) models are state-of-the-art in segmenting anatomical and disease regions of interest (ROIs) in medical images. Particularly, a large number of DL-based technique…
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi +2
Lung segmentation in chest X-rays (CXRs) is an important prerequisite for improving the specificity of diagnoses of cardiopulmonary diseases in a clinical decision support system.…
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi +3
Automated segmentation of tuberculosis (TB)-consistent lesions in chest X-rays (CXRs) using deep learning (DL) methods can help reduce radiologist effort, supplement clinical decis…
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification
Yuan Xue, Jiarong Ye, Qianying Zhou +7
Histopathological analysis is the present gold standard for precancerous lesion diagnosis. The goal of automated histopathological classification from digital images requires super…
Feature based Sequential Classifier with Attention Mechanism
Sudhir Sornapudi, R. Joe Stanley, William V. Stoecker +5
Cervical cancer is one of the deadliest cancers affecting women globally. Cervical intraepithelial neoplasia (CIN) assessment using histopathological examination of cervical biopsy…
Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images
Sudhir Sornapudi, G. T. Brown, Zhiyun Xue +3
Liquid-based cytology (LBC) is a reliable automated technique for the screening of Papanicolaou (Pap) smear data. It is an effective technique for collecting a majority of the cerv…
Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification
Yuan Xue, Qianying Zhou, Jiarong Ye +5
Cervical intraepithelial neoplasia (CIN) grade of histopathology images is a crucial indicator in cervical biopsy results. Accurate CIN grading of epithelium regions helps patholog…