Plant disease detection and classification by deep learning
Plant diseases affect the growth of their respective species, therefore their early identification
is very important. Many Machine Learning (ML) models have been employed for the …
is very important. Many Machine Learning (ML) models have been employed for the …
A review on a deep learning perspective in brain cancer classification
A World Health Organization (WHO) Feb 2018 report has recently shown that mortality rate
due to brain or central nervous system (CNS) cancer is the highest in the Asian continent. It …
due to brain or central nervous system (CNS) cancer is the highest in the Asian continent. It …
Programmable black phosphorus image sensor for broadband optoelectronic edge computing
Image sensors with internal computing capability enable in-sensor computing that can
significantly reduce the communication latency and power consumption for machine vision …
significantly reduce the communication latency and power consumption for machine vision …
A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology
Artificial intelligence technology has advanced rapidly in recent years and has the potential
to improve healthcare outcomes. However, technology uptake will be largely driven by …
to improve healthcare outcomes. However, technology uptake will be largely driven by …
Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives
NN Zhong, HQ Wang, XY Huang, ZZ Li, LM Cao… - Seminars in Cancer …, 2023 - Elsevier
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …
Deep learning meets hyperspectral image analysis: A multidisciplinary review
Modern hyperspectral imaging systems produce huge datasets potentially conveying a great
abundance of information; such a resource, however, poses many challenges in the …
abundance of information; such a resource, however, poses many challenges in the …
Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer
SM Thomas, JG Lefevre, G Baxter, NA Hamilton - Medical Image Analysis, 2021 - Elsevier
We apply for the first-time interpretable deep learning methods simultaneously to the most
common skin cancers (basal cell carcinoma, squamous cell carcinoma and intraepidermal …
common skin cancers (basal cell carcinoma, squamous cell carcinoma and intraepidermal …
Artificial Intelligence-based methods in head and neck cancer diagnosis: an overview
Background This paper reviews recent literature employing Artificial Intelligence/Machine
Learning (AI/ML) methods for diagnostic evaluation of head and neck cancers (HNC) using …
Learning (AI/ML) methods for diagnostic evaluation of head and neck cancers (HNC) using …
[PDF][PDF] Use of artificial intelligence in dentistry: current clinical trends and research advances
TT Nguyen, N Larrivée, A Lee, O Bilaniuk… - J Can Dent …, 2021 - odontologos.com.co
The field of artificial intelligence (AI) has experienced spectacular development and growth
over the past two decades. With recent progress in digitized data acquisition, machine …
over the past two decades. With recent progress in digitized data acquisition, machine …
Physician perspectives on integration of artificial intelligence into diagnostic pathology
Advancements in computer vision and artificial intelligence (AI) carry the potential to make
significant contributions to health care, particularly in diagnostic specialties such as …
significant contributions to health care, particularly in diagnostic specialties such as …