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Medical Image Understanding and Analysis

Overview of attention for book
Medical Image Understanding and Analysis
Springer International Publishing
Attention for Chapter: D’OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance for Early Detection of Oral Cancer
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Chapter title
D’OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance for Early Detection of Oral Cancer
Book title
Medical Image Understanding and Analysis
Published by
Springer, Cham, July 2021
DOI 10.1007/978-3-030-80432-9_31
Book ISBNs
978-3-03-080431-2, 978-3-03-080432-9
Authors

Jian Han Lim, Chun Shui Tan, Chee Seng Chan, Roshan Alex Welikala, Paolo Remagnino, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr, Rahmi Amtha, Karthikeya Patil, Wanninayake Mudiyanselage Tilakaratne, John Gibson, Sok Ching Cheong, Sarah Ann Barman, Lim, Jian Han, Tan, Chun Shui, Chan, Chee Seng, Welikala, Roshan Alex, Remagnino, Paolo, Rajendran, Senthilmani, Kallarakkal, Thomas George, Zain, Rosnah Binti, Jayasinghe, Ruwan Duminda, Rimal, Jyotsna, Kerr, Alexander Ross, Amtha, Rahmi, Patil, Karthikeya, Tilakaratne, Wanninayake Mudiyanselage, Gibson, John, Cheong, Sok Ching, Barman, Sarah Ann

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 20%
Student > Master 2 13%
Researcher 2 13%
Lecturer 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 6 40%
Readers by discipline Count As %
Computer Science 3 20%
Medicine and Dentistry 2 13%
Nursing and Health Professions 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Engineering 1 7%
Other 0 0%
Unknown 7 47%