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Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI
The study introduces an integrated framework combining Convolutional Neural Networks (CNNs) and Explainable Artificial Intelligence (XAI) for the enhanced diagnosis of breast cancer using the CBIS-DDSM dataset.
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
In the past decade, the deployment of deep learning (Artificial Intelligence (AI)) methods has become pervasive across a spectrum of real-world applications, often in safety-critical contexts.
Pneumonia Detection in Chest X-Ray Images : Handling Class Imbalance
One of the major hurdles faced by the Artificial Intelligence (AI) research community is the lack of publicly available datasets for chest diseases, including pneumonia .
Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features
Given the widespread prevalence of breast cancer, it is of utmost importance for the research community to come up with the framework for early detection, classification and diagnosis.
Artificial Intelligence For Breast Cancer Detection: Trends & Directions
Datasets availability is one of the most important aspect for the development of AI based frameworks as such algorithms are data hungry and generally quality of dataset affects performance of AI based algorithms.
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
In this Systematic Literature Review (SLR) we collected, synthesized and analyzed research articles on the topic of handwritten OCR (and closely related topics) which were published between year 2000 to 2018.
Optical Character Recognition
Optical Character Recognition (OCR)
A novel machine learning based framework for detection of Autism Spectrum Disorder (ASD)
Corpus callosum and intracranial brain volume data is obtained from T1-weighted MRI scans.
A novel database of Children's Spontaneous Facial Expressions (LIRIS-CSE)
Computing environment is moving towards human-centered designs instead of computer centered designs and human's tend to communicate wealth of information through affective states or expressions.
An Extensive Review on Spectral Imaging in Biometric Systems: Challenges and Advancements
Spectral imaging has recently gained traction for face recognition in biometric systems.
Can Autism be Catered with Artificial Intelligence-Assisted Intervention Technology? A Literature Review
This article presents an extensive literature review of technology based intervention methodologies for individuals facing Autism Spectrum Disorder (ASD).
