Detection of skin cancer by classification of Raman spectra

By S. Sigurðsson, Peter Alshede Philipsen, Lars Kai Hansen, Jan Larsen, Monika Gniadecka, Hans-Christian Wulf. IEEE Transactions on Biomedical Engineering, 2004

304 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biomedical Engineering, Biophysics

View Paper: https://www.semanticscholar.org/paper/1d54c357fc34b98b333ab16b2cccfdca6ed61637

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Ji‐Xin Cheng
2. Xiaohui S. Xie

In Biomedical Engineering

1. Adel Al-Jumaily
2. Ammara Masood

In Biophysics

1. Laura Rieger
2. Tanya Schmah
3. Lars Kai Hansen
4. Stephen C. Strother
5. Ji‐Xin Cheng
6. Xiaohui S. Xie

Citations in the corpus

• Aggregating explanation methods for stable and robust explainability. (2019, methodology): “A way to incorporate this information is to form an ’effect size’ map by dividing the mean aggregate locally with its standard deviation (Sigurdsson et al., 2004).”
• Visualization of nonlinear kernel models in neuroimaging by sensitivity maps (2011, unknown): “, 2002) and in skin cancer detection by Raman spectroscopy (Sigurdsson et al., 2004).”
• Overview of Advanced Computer Vision Systems for Skin Lesions Characterization (2009, methodology): “networks are presented in works like [16]–[18], [22], [31], [35], [37], [41], and [65], while the k-nearest neighborhood classification scheme is applied in [29].”
• Raman Spectroscopy of Biological Tissues (2007, background): “(52) studied the detection of skin cancer by classification of Raman spectra.”
• Visualization of Nonlinear Classification Models in Neuroimaging - Signed Sensitivity Maps (2012, background): “, 2011), and in skin cancer detection by Raman spectroscopy using neural networks (Sigurdsson et al., 2004).”