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09/20/2023
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images
Model initialization techniques are vital for improving the performance ...
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09/18/2023
Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays
Deep learning (DL) has demonstrated its innate capacity to independently...
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01/10/2023
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?
Deep learning (DL) models are becoming state-of-the-art in segmenting an...
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11/04/2022
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study
Lung segmentation in chest X-rays (CXRs) is an important prerequisite fo...
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01/18/2022
Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets
Cervical cancer is the fourth most common cancer in women worldwide. The...
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11/10/2021
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification
Histopathological analysis is the present gold standard for precancerous...
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11/05/2021
A bone suppression model ensemble to improve COVID-19 detection in chest X-rays
Chest X-ray (CXR) is a widely performed radiology examination that helps...
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09/29/2021
Multi-loss ensemble deep learning for chest X-ray classification
Class imbalance is common in medical image classification tasks, where t...
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09/29/2021
Does deep learning model calibration improve performance in class-imbalanced medical image classification?
In medical image classification tasks, it is common to find that the num...
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06/17/2021
Trilateral Attention Network for Real-time Medical Image Segmentation
Accurate segmentation of medical images into anatomically meaningful reg...
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04/09/2021
Improved TB classification using bone-suppressed chest radiographs
Chest X-rays (CXRs) are the most commonly performed diagnostic examinati...
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02/21/2021
Training custom modality-specific U-Net models with weak localizations for improved Tuberculosis segmentation and localization
Deep learning (DL) has drawn tremendous attention in object localization...
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08/26/2020
Synthetic Sample Selection via Reinforcement Learning
Synthesizing realistic medical images provides a feasible solution to th...
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07/22/2020
Feature based Sequential Classifier with Attention Mechanism
Cervical cancer is one of the deadliest cancers affecting women globally...
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06/19/2020
Unified Representation Learning for Efficient Medical Image Analysis
Medical image analysis typically includes several tasks such as image en...
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12/09/2019
Selective Synthetic Augmentation with Quality Assurance
Supervised training of an automated medical image analysis system often ...
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10/02/2019
Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images
Liquid-based cytology (LBC) is a reliable automated technique for the sc...
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08/06/2019
Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps
With the transformative technologies and the rapidly changing global R ...
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07/24/2019