[HTML][HTML] Interpretable machine learning for building energy management: A state-of-the-art review
Abstract Machine learning has been widely adopted for improving building energy efficiency
and flexibility in the past decade owing to the ever-increasing availability of massive building …
and flexibility in the past decade owing to the ever-increasing availability of massive building …
Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review
Machine Learning and Artificial Intelligence (AI) more broadly have great immediate and
future potential for transforming almost all aspects of medicine. However, in many …
future potential for transforming almost all aspects of medicine. However, in many …
Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare
Abstract Background and Objective: Artificial Intelligence (AI) has shown significant
advancements across several industries, including healthcare, using better fusion …
advancements across several industries, including healthcare, using better fusion …
Lizard: a large-scale dataset for colonic nuclear instance segmentation and classification
The development of deep segmentation models for computational pathology (CPath) can
help foster the investigation of interpretable morphological biomarkers. Yet, there is a major …
help foster the investigation of interpretable morphological biomarkers. Yet, there is a major …
[HTML][HTML] Application of artificial intelligence in pathology: trends and challenges
I Kim, K Kang, Y Song, TJ Kim - Diagnostics, 2022 - mdpi.com
Given the recent success of artificial intelligence (AI) in computer vision applications, many
pathologists anticipate that AI will be able to assist them in a variety of digital pathology …
pathologists anticipate that AI will be able to assist them in a variety of digital pathology …
Explainable ai for medical image analysis in medical cyber-physical systems: Enhancing transparency and trustworthiness of iomt
W Liu, F Zhao, A Shankar, C Maple… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Medical image analysis plays a crucial role in healthcare systems of Internet of Medical
Things (IoMT), aiding in the diagnosis, treatment planning, and monitoring of various …
Things (IoMT), aiding in the diagnosis, treatment planning, and monitoring of various …
Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?
H Evans, D Snead - Histopathology, 2024 - Wiley Online Library
Artificial intelligence (AI)‐based diagnostic tools can offer numerous benefits to the field of
histopathology, including improved diagnostic accuracy, efficiency and productivity. As a …
histopathology, including improved diagnostic accuracy, efficiency and productivity. As a …
Conic: Colon nuclei identification and counting challenge 2022
Nuclear segmentation, classification and quantification within Haematoxylin & Eosin stained
histology images enables the extraction of interpretable cell-based features that can be used …
histology images enables the extraction of interpretable cell-based features that can be used …
[HTML][HTML] Challenges in the development, deployment, and regulation of artificial intelligence in anatomic pathology
Significant advances in artificial intelligence (AI), deep learning, and other machine-learning
approaches have been made in recent years, with applications found in almost every …
approaches have been made in recent years, with applications found in almost every …
[Retracted] PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID‐19 with Multiple‐Way Data Augmentation
Aim. COVID‐19 has caused large death tolls all over the world. Accurate diagnosis is of
significant importance for early treatment. Methods. In this study, we proposed a novel …
significant importance for early treatment. Methods. In this study, we proposed a novel …