Detection of Tumoral Epithelial Lesions Using Hyperspectral Imaging and Deep Learning

Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging

“…Moreover, the hyperspectral microscopy systems in many studies were based on a line-scanning hyperspectral camera, which has to be synchronized with a motorized stage. 18,28,29 A spectral-scanning hyperspectral microscopy system, which utilized a monochromator as the spectral-scanning component, was developed for oral cancer diagnosis. 30 Both of the abovementioned systems needed a tradeoff between system complexity and resolution.…”

Machine Learning-Assisted Short-Wave InfraRed (SWIR) Techniques for Biomedical Applications: Towards Personalized Medicine

“…DNN RetinaNet was then utilized to automatically identify and classify these lesions. The findings highlight the effectiveness of this approach, offering a promising non-invasive solution for early-stage cancer detection, with potential implications for enhancing patient care and treatment strategies [91].…”

Trends in Deep Learning for Medical Hyperspectral Image Analysis

“…Hyperspectral system for imaging of skin chromophores and blood oxygenation [79] Other Estimation of tissue oxygen saturation from RGB images and sparse hyperspectral signals based on conditional generative adversarial network [78] Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology [81] Generating hyperspectral skin cancer imagery using generative adversarial neural network [82] CNN-based model used for endoscopic image reconstruction to enhance surgical guidance [62] Classifying cancerous tissue samples from neck and head regions using CNN [35] Detection of neck and head cancerous cells via classification using CNN [55] Improvisation of CNN using kernel fusion implemented for cell classification [51] Implementation of CNN for blood cell classification [52] Two-channel CNN for solving limited-samples problem for CNN models [53] Use of CNN to detect squamous cell carcinoma between samples from different patients [65] CNN used for detection of oral cancer [57] Using specular glare in MHSI along with CNN to detect squamous cell carcinoma [66] Another study for CNN to detect squamous cell carcinoma [61] Detection of brain tumor with the aid of CNN [71] CNN Detecting carcinoma thyroid sample with the aid of CNN [60] Different CNN models compared to one another for classifying skin cancer from patient data HIS [72] CNN utilized to classify and detect squamous cell carcinoma [68] CNN used to classify and detect breast cancer cells [70] CNN implemented for detection of Glioblastoma cells from Hematoxylin & Eosin tissue sample [86] In-vivo Laryngeal cancer detection based on CNN [69] Convolutional based RetinaNet model implemented to classify and detect tumors in epithelial tissue [87] Implemented a hybrid CNN model to classify colon tumor in order to aid surgical guidance [84] Five-layer CNN applied to classify endoscopy HSI [85] Study of classification for blood and similar appearing substances from HSI with CNN,RNN, MLP [54] Proposed framework of 3D-2D CNN-based approach to classify brain tumors [58] ANN Implementation of ANN and SVM for cancerous cell HSI <...>…”