Hyperspectral imaging for early diagnosis of diseases: a review

H Mangotra, S Srivastava, G Jaiswal, R Rani… - Expert …, 2023 - Wiley Online Library
Hyperspectral Imaging (HSI) has grown to be one of the most crucial optical imaging
modalities with applications in numerous industries. The non‐invasive nature of HSI has led …

Identidication of novel biomarkers in non-small cell lung cancer using machine learning

F Wang, Q Su, C Li - Scientific Reports, 2022 - nature.com
Lung cancer is one of the leading causes of cancer-related deaths worldwide, and non-
small cell lung cancer (NSCLC) accounts for a large proportion of lung cancer cases, with …

Staging of skin cancer based on hyperspectral microscopic imaging and machine learning

L Liu, M Qi, Y Li, Y Liu, X Liu, Z Zhang, J Qu - Biosensors, 2022 - mdpi.com
Skin cancer, a common type of cancer, is generally divided into basal cell carcinoma (BCC),
squamous cell carcinoma (SCC) and malignant melanoma (MM). The incidence of skin …

[HTML][HTML] Advancing hyperspectral imaging and machine learning tools toward clinical adoption in tissue diagnostics: A comprehensive review

CL Lai, R Karmakar, A Mukundan, RK Natarajan… - APL …, 2024 - pubs.aip.org
Hyperspectral imaging (HSI) has become an evident transformative apparatus in medical
diagnostics. The review aims to appraise the present advancement and challenges in HSI …

Hyperspectral imaging‐based erythema classification in atopic dermatitis

S Kye, O Lee - Skin Research and Technology, 2024 - Wiley Online Library
Abstract Background/Purpose Among the characteristics that appear in the epidermis of the
skin, erythema is primarily evaluated through qualitative scales, such as visual assessment …

Integrating hyperspectral imaging in an existing intra-operative environment for detection of intrinsic brain tumors

R Vandebriel, S Luthman, K Vunckx… - Advanced …, 2023 - spiedigitallibrary.org
Label-free tissue identification is the new frontier of image guided surgery. One of the most
promising modalities is hyperspectral imaging (HSI). Until now, the use of HSI has, however …

Tissue Classification of Breast Cancer by Hyperspectral Unmixing

LJS Jong, AL Post, D Veluponnar, F Geldof… - Cancers, 2023 - mdpi.com
Simple Summary To minimize the risk of cancer recurrence, it is crucial for surgeons to
assess the resection margins (surface) of surgical specimens during breast-conserving …

Artificial Intelligence in Oncology: A Topical Collection in 2022

A Stadlbauer, A Meyer-Bäse - Cancers, 2023 - mdpi.com
Artificial intelligence (AI) is considered one of the core technologies of the Fourth Industrial
Revolution that is currently taking place. These approaches bridge the gap between …

Method for automated assessment of the effectiveness of fruit safety enhancement using an acousto-optical imaging spectrometer

SS Batashova, AA Zolotukhina, AV Guryleva… - Journal of Optical …, 2024 - opg.optica.org
Subject of study. This study focuses on the acquisition, processing, and interpretation
methods and algorithms for spectral images aimed at evaluating surface defects in fruits …

AI-assisted robotic surgery for gynecologic cancer

Y Brezinov - 2024 - escholarship.mcgill.ca
Objectifs: Ce travail vise à développer et valider un algorithme d'IA pour la délimitation des
tissus en chirurgie gynécologique robotisée du cancer. Méthodes: Des vidéos de chirurgies …