From blackbox to explainable AI in healthcare: existing tools and case studies
Introduction. Artificial intelligence (AI) models have been employed to automate decision‐
making, from commerce to more critical fields directly affecting human lives, including …
making, from commerce to more critical fields directly affecting human lives, including …
Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches
Breast cancer is a significant global health burden, with increasing morbidity and mortality
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …
[HTML][HTML] Iot-cloud-based smart healthcare monitoring system for heart disease prediction via deep learning
AA Nancy, D Ravindran, PMD Raj Vincent… - Electronics, 2022 - mdpi.com
The Internet of Things confers seamless connectivity between people and objects, and its
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …
[HTML][HTML] ResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides
Carcinoma is a primary source of morbidity in women globally, with metastatic disease
accounting for most deaths. Its early discovery and diagnosis may significantly increase the …
accounting for most deaths. Its early discovery and diagnosis may significantly increase the …
[HTML][HTML] Using recurrent neural networks for predicting type-2 diabetes from genomic and tabular data
The development of genomic technology for smart diagnosis and therapies for various
diseases has lately been the most demanding area for computer-aided diagnostic and …
diseases has lately been the most demanding area for computer-aided diagnostic and …
Automatic robot Manoeuvres detection using computer vision and deep learning techniques: a perspective of internet of robotics things (IoRT)
To minimize any impediments in real-time Internet of Things (IoT)-enabled robotics
applications, this study demonstrated how to build and deploy a revolutionary framework …
applications, this study demonstrated how to build and deploy a revolutionary framework …
Detection of lung cancer in CT scans using grey wolf optimization algorithm and recurrent neural network
Purpose For radiologists, identifying and assessing thelung nodules of cancerous form from
CT scans is a difficult and laborious task. As a result, early lung growing prediction is …
CT scans is a difficult and laborious task. As a result, early lung growing prediction is …
6G driven fast computational networking framework for healthcare applications
New Sixth-generation (6G) networks rely heavily on the Intelligence Internet of Things (IIoT)
to store and process data more efficiently. 6G is desired to offer ultra-low latency, high …
to store and process data more efficiently. 6G is desired to offer ultra-low latency, high …
[HTML][HTML] Nutrients deficiency diagnosis of rice crop by weighted average ensemble learning
MSH Talukder, AK Sarkar - Smart Agricultural Technology, 2023 - Elsevier
Rice is one of the most extensively cultivated food crops on the planet, especially in
Bangladesh, China, and India. However, rice production is frequently hampered by nutrient …
Bangladesh, China, and India. However, rice production is frequently hampered by nutrient …
[HTML][HTML] A survey: object detection methods from CNN to transformer
E Arkin, N Yadikar, X Xu, A Aysa, K Ubul - Multimedia Tools and …, 2023 - Springer
Object detection is the most important problem in computer vision tasks. After AlexNet
proposed, based on Convolutional Neural Network (CNN) methods have become …
proposed, based on Convolutional Neural Network (CNN) methods have become …