Hyperspectral imaging for early diagnosis of diseases: a review
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 …
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 …
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
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 …
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
Hyperspectral imaging (HSI) has become an evident transformative apparatus in medical
diagnostics. The review aims to appraise the present advancement and challenges in HSI …
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 …
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 …
promising modalities is hyperspectral imaging (HSI). Until now, the use of HSI has, however …
Tissue Classification of Breast Cancer by Hyperspectral Unmixing
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 …
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 …
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 …
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 …
tissus en chirurgie gynécologique robotisée du cancer. Méthodes: Des vidéos de chirurgies …