Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks

S Berisha, M Lotfollahi, J Jahanipour, I Gurcan… - Analyst, 2019 - pubs.rsc.org
Current methods for cancer detection rely on tissue biopsy, chemical labeling/staining, and
examination of the tissue by a pathologist. Though these methods continue to remain the …
被引用次数：101 相关文章

Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks

S Berisha, M Lotfollahi, J Jahanipour… - The …, 2019 - pubmed.ncbi.nlm.nih.gov
Current methods for cancer detection rely on tissue biopsy, chemical labeling/staining, and
examination of the tissue by a pathologist. Though these methods continue to remain the …

[引用][C] Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks

S Berisha, M Lotfollahi, J Jahanipour, I Gurcan… - The Analyst, 2019 - cir.nii.ac.jp
Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional
neural networks | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ …

Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks.

S Berisha, M Lotfollahi, J Jahanipour, I Gurcan… - The Analyst, 2019 - europepmc.org
Current methods for cancer detection rely on tissue biopsy, chemical labeling/staining, and
examination of the tissue by a pathologist. Though these methods continue to remain the …

Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks

S Berisha, M Lotfollahi, J Jahanipour, I Gurcan… - Analyst, 2019 - experts.illinois.edu
Current methods for cancer detection rely on tissue biopsy, chemical labeling/staining, and
examination of the tissue by a pathologist. Though these methods continue to remain the …

[引用][C] Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks

S Berisha, M Lotfollahi, J Jahanipour, I Gurcan… - The …, 2019 - ui.adsabs.harvard.edu
Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional
neural networks - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS …
[PDF] academia.edu

[PDF][PDF] Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural net-works

S Berishaa, M Lotfollahia, J Jahanipoura, I Gurcana… - academia.edu
Current methods for cancer detection rely on tissue biopsy, chemical labeling/staining, and
examination of the tissue by a pathologist. Though these methods continue to remain the …
[PDF] researchgate.net

[PDF][PDF] Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural net-works

S Berishaa, M Lotfollahia, J Jahanipoura, I Gurcana… - researchgate.net
Current methods for cancer detection rely on tissue biopsy, chemical labeling/staining, and
examination of the tissue by a pathologist. Though these methods continue to remain the …
[HTML] nih.gov

[HTML][HTML] Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks

S Berisha, M Lotfollahi, J Jahanipour, I Gurcan… - The Analyst, 2019 - ncbi.nlm.nih.gov
Current methods for cancer detection rely on tissue biopsy, chemical labeling/staining, and
examination of the tissue by a pathologist. Though these methods continue to remain the …

Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks.

S Berisha, M Lotfollahi, J Jahanipour, I Gurcan… - The Analyst, 2019 - europepmc.org
Current methods for cancer detection rely on tissue biopsy, chemical labeling/staining, and
examination of the tissue by a pathologist. Though these methods continue to remain the …