A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images

Lu, Jiahao (author): Uppsala universitet,Bildanalys och människa-datorinteraktion,Avdelningen för visuell information och interaktion,MIDA

Sladoje, Natasa (author): Uppsala universitet,Avdelningen för visuell information och interaktion,Bildanalys och människa-datorinteraktion,MIDA

Runow Stark, Christina (author): Dept. of Orofacial Medicine at Södersjukhuset, Folktandvården Stockholms Län AB, Sweden

Darai Ramqvist, Eva (author): Karolinska Universitetsjukhuset, Dept. of Clinical Pathology and Cytology, Stockholm, Sweden

Lindblad, Joakim (author): Uppsala universitet,Bildanalys och människa-datorinteraktion,Avdelningen för visuell information och interaktion

(creator_code:org_t)

Related links:: https://arxiv.org/ab...; show more...; https://urn.kb.se/re...; show less...

Abstract Subject headings

Oral cancer incidence is rapidly increasing worldwide. The most important determinant factor in cancer survival is early diagnosis. To facilitate large scale screening, we propose a fully automated end-to-end pipeline for oral cancer screening on whole slide cytology images. The pipeline consists of regression based nucleus detection, followed by per cell focus selection, and CNN based classification. We demonstrate that the pipeline provides fast and efficient cancer classification of whole slide cytology images, improving over previous results. The complete source code is made available as open source (https://github.com/MIDA-group/OralScreen).

TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)

By the author/editor: Lu, Jiahao; Sladoje, Natasa; Runow Stark, Chr ...; Darai Ramqvist, ...; Hirsch, Jan-Mich ...; Lindblad, Joakim

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Medical Engineer ...; and Medical Image Pr ...

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Computer Vision ...

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