scholarly journals Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection

2020 ◽  
Author(s):  
Marcel Bengs ◽  
Stephan Westermann ◽  
Nils Gessert ◽  
Dennis Eggert ◽  
Andreas O. H. Gerstner ◽  
...  
Keyword(s):  
Deep Learning ◽  
Laryngeal Cancer ◽  
Cancer Detection ◽  
Learning Methods

scholarly journals Deep Learning Applied to White Light and Narrow Band Imaging Videolaryngoscopy: Toward Real‐Time Laryngeal Cancer Detection

2021 ◽  
Author(s):  
Muhammad Adeel Azam ◽  
Claudio Sampieri ◽  
Alessandro Ioppi ◽  
Stefano Africano ◽  
Alberto Vallin ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Laryngeal Cancer ◽  
Cancer Detection ◽  
White Light ◽  
Narrow Band ◽  
Narrow Band Imaging

scholarly journals DLAB - Deep learning methods for structure-based virtual screening of antibodies

2021 ◽  
Author(s):  
Constantin Schneider ◽  
Andrew Buchanan ◽  
Bruck Taddese ◽  
Charlotte M. Deane
Keyword(s):  
Deep Learning ◽  
Virtual Screening ◽  
Drug Discovery Process ◽  
Learning Methods ◽  
Drug Candidates ◽  
Specific Antigens ◽  
High Throughput Screens ◽  
Selection Of

AbstractAntibodies are one of the most important classes of pharmaceuticals, with over 80 approved molecules currently in use against a wide variety of diseases. The drug discovery process for antibody therapeutic candidates however is time- and cost-intensive and heavily reliant on in-vivo and in-vitro high throughput screens. Here, we introduce a framework for structure-based deep learning for antibodies (DLAB) which can virtually screen putative binding antibodies against antigen targets of interest. DLAB is built to be able to predict antibody-antigen binding for antigens with no known antibody binders.We demonstrate that DLAB can be used both to improve antibody-antigen docking and structure-based virtual screening of antibody drug candidates. DLAB enables improved pose ranking for antibody docking experiments as well as selection of antibody-antigen pairings for which accurate poses are generated and correctly ranked. DLAB also outperforms baseline methods at identifying binding antibodies against specific antigens in a series of case studies. Our results demonstrate the promise of deep learning methods for structure-based virtual screening of antibodies.

In vivo detection of head and neck tumors by hyperspectral imaging combined with deep learning methods

2021 ◽  
Author(s):  
Dennis Eggert ◽  
Marcel Bengs ◽  
Stephan Westermann ◽  
Nils Gessert ◽  
Andreas O.H. Gerstner ◽  
...  
Keyword(s):  
Deep Learning ◽  
Head And Neck ◽  
Hyperspectral Imaging ◽  
Head And Neck Tumors ◽  
Learning Methods ◽  
Neck Tumors ◽  
In Vivo Detection

Deep learning enhances polarization speckle for in vivo skin cancer detection

2021 ◽  
Vol 140 ◽  
pp. 107006
Author(s):  
Yuheng Wang ◽  
Daniel C. Louie ◽  
Jiayue Cai ◽  
Lioudmila Tchvialeva ◽  
Harvey Lui ◽  
...  
Keyword(s):  
Deep Learning ◽  
Skin Cancer ◽  
Cancer Detection ◽  
Skin Cancer Detection

Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods

2020 ◽  
Author(s):  
Saeed Nosratabadi ◽  
Amir Mosavi ◽  
Puhong Duan ◽  
Pedram Ghamisi ◽  
Filip Ferdinand ◽  
...  
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Data Science ◽  
Learning Methods ◽  
Comprehensive Review
Sign in / Sign up

Export Citation Format

Share Document