Classifying breast cancer tissue by Raman spectroscopy with one-dimensional convolutional neural network

Fluorescence imaging and Raman spectroscopy applied for accurate diagnosis of breast cancer with deep learning algorithms

(2020) LinWei Shang et al.   Biomedical Optics Express

Selene: a PyTorch-based deep learning library for sequence data

(2019) Kathleen M. Chen et al.   NATURE METHODS

Raman spectral feature selection using ant colony optimization for breast cancer diagnosis

(2018) Omid Fallahzadeh et al.   LASERS IN MEDICAL SCIENCE

Spectral-spatial classification of hyperspectral imagery using a dual-channel convolutional neural network

(2017) Haokui Zhang et al.   Remote Sensing Letters

One-Dimensional Convolutional Neural Network Land-Cover Classification of Multi-Seasonal Hyperspectral Imagery in the San Francisco Bay Area, California

(2017) Daniel Guidici et al.   Remote Sensing

Raman technologies in cancer diagnostics

(2016) Lauren A. Austin et al.   ANALYST

3D Raman imaging of systemic endothelial dysfunction in the murine model of metastatic breast cancer

(2016) Marta Z. Pacia et al.   ANALYTICAL AND BIOANALYTICAL CHEMISTRY

Differences and Relationships Between Normal and Atypical Ductal Hyperplasia, Ductal Carcinoma In Situ, and Invasive Ductal Carcinoma Tissues in the Breast Based on Raman Spectroscopy

(2016) Bing Han et al.   APPLIED SPECTROSCOPY

Application of Raman Spectroscopy and Infrared Spectroscopy in the Identification of Breast Cancer

(2016) Joanna Depciuch et al.   APPLIED SPECTROSCOPY

Clinical instrumentation and applications of Raman spectroscopy

(2016) Isaac Pence et al.   CHEMICAL SOCIETY REVIEWS

RAMAN spectroscopy imaging improves the diagnosis of papillary thyroid carcinoma

(2016) Julietta V. Rau et al.   Scientific Reports

Cancer Incidence in Five Continents: Inclusion criteria, highlights from Volume X and the global status of cancer registration

(2015) F. Bray et al.   INTERNATIONAL JOURNAL OF CANCER

Application of Raman Spectroscopy to Identify Microcalcifications and Underlying Breast Lesions at Stereotactic Core Needle Biopsy

(2013) I. Barman et al.   CANCER RESEARCH

Discriminating Isogenic Cancer Cells and Identifying Altered Unsaturated Fatty Acid Content as Associated with Metastasis Status, Using K-Means Clustering and Partial Least Squares-Discriminant Analysis of Raman Maps

(2010) Martin Hedegaard et al.   ANALYTICAL CHEMISTRY