An embedded recurrent neural network-based model for endoscopic semantic segmentation
Detecting cancers at their early stage would decrease mortality rate. For instance, detecting all polyps during colonoscopy would increase the chances of a better prognoses. However, endoscopists are facing difficulties due to the heavy workload of analyzing endoscopic images. Hence, assisting endos...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/35506/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108846020&partnerID=40&md5=71fc160223491a1e755642d427493881 |
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| Institution: | Universiti Malaya |