An advanced deep learning framework for multi-class diagnosis from chest X-ray images
Chest X-ray imaging plays a vital and indispensable role in the diagnosis of lungs, enabling
healthcare professionals to swiftly and accurately identify lung abnormalities. Deep learning …
healthcare professionals to swiftly and accurately identify lung abnormalities. Deep learning …
[图书][B] Active learning to minimize the possible risk of future epidemics
KC Santosh, S Nakarmi - 2023 - Springer
Future epidemics are inevitable. In the realm of medical imaging informatics, the challenge
of addressing future epidemics, such as infectious disease outbreaks like Covid-19, is …
of addressing future epidemics, such as infectious disease outbreaks like Covid-19, is …
A Comparative Analysis of the Novel Conditional Deep Convolutional Neural Network Model, Using Conditional Deep Convolutional Generative Adversarial Network …
Disease prediction is greatly challenged by the scarcity of datasets and privacy concerns
associated with real medical data. An approach that stands out to circumvent this hurdle is …
associated with real medical data. An approach that stands out to circumvent this hurdle is …
COVID-19 Detection and Diagnosis Model on CT Scans Based on AI Techniques
The end of 2019 could be mounted in a rudimentary framing of a new medical problem,
which globally introduces into the discussion a fulminant outbreak of coronavirus …
which globally introduces into the discussion a fulminant outbreak of coronavirus …
Analyzing Pulmonary Abnormality with Superpixel Based Graph Neural Network in Chest X-Ray
R Pradhan, KC Santosh - International Conference on Recent Trends in …, 2023 - Springer
In recent years, the utilization of graph-based deep learning has gained prominence, yet its
potential in the realm of medical diagnosis remains relatively unexplored. The challenge …
potential in the realm of medical diagnosis remains relatively unexplored. The challenge …
Active Learning—Methodology
KC Santosh, S Nakarmi - Active Learning to Minimize the Possible Risk of …, 2023 - Springer
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Case Study# 2: Reading/Analyzing CT Scans
KC Santosh, S Nakarmi - Active Learning to Minimize the Possible Risk of …, 2023 - Springer
Case Study #2: Reading/Analyzing CT Scans | SpringerLink Skip to main content
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Mentoring Deep Learning Models for Mass Screening With Limited Data
S Nakarmi - 2023 - search.proquest.com
Deep Learning (DL) has an extensively rich state-of-the-art literature in medical imaging
analysis. However, it requires large amount of data to begin training. This limits its usage in …
analysis. However, it requires large amount of data to begin training. This limits its usage in …
Applied AI Use Cases—From Number to Image Data
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Summary and Take-Home Messages
KC Santosh, S Nakarmi - Active Learning to Minimize the Possible Risk of …, 2023 - Springer
Predictive modeling, as exemplified by Covid-19 (Centers for Disease Control and
Prevention, COVID-19 (2019). Novel Coronavirus research guide. https://www. cdc …
Prevention, COVID-19 (2019). Novel Coronavirus research guide. https://www. cdc …