Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386596995> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W4386596995 abstract "The success of self-supervised learning (SSL) has mostly been attributed to the availability of unlabeled yet large-scale datasets. However, in a specialized domain such as medical imaging which is a lot different from natural images, the assumption of data availability is unrealistic and impractical, as the data itself is scanty and found in small databases, collected for specific prognosis tasks. To this end, we seek to investigate the applicability of self-supervised learning algorithms on small-scale medical imaging datasets. In particular, we evaluate 4 state-of-the-art SSL methods on three publicly accessible small medical imaging datasets. Our investigation reveals that in-domain low-resource SSL pre-training can yield competitive performance to transfer learning from large-scale datasets (such as ImageNet). Furthermore, we extensively analyse our empirical findings to provide valuable insights that can motivate for further research towards circumventing the need for pre-training on a large image corpus. To the best of our knowledge, this is the first attempt to holistically explore self-supervision on low-resource medical datasets. Source codes are available at: https://github.com/soumitri2001/SmallDataSSL" @default.
- W4386596995 created "2023-09-12" @default.
- W4386596995 creator A5013857985 @default.
- W4386596995 creator A5037361439 @default.
- W4386596995 creator A5038789828 @default.
- W4386596995 creator A5075720299 @default.
- W4386596995 creator A5084554645 @default.
- W4386596995 date "2023-10-08" @default.
- W4386596995 modified "2023-09-27" @default.
- W4386596995 title "Exploring Self-Supervised Representation Learning for Low-Resource Medical Image Analysis" @default.
- W4386596995 cites W2108598243 @default.
- W4386596995 cites W2321533354 @default.
- W4386596995 cites W2435090885 @default.
- W4386596995 cites W2798991696 @default.
- W4386596995 cites W2963420272 @default.
- W4386596995 cites W2964317695 @default.
- W4386596995 cites W2964744899 @default.
- W4386596995 cites W3035524453 @default.
- W4386596995 cites W3108516814 @default.
- W4386596995 cites W3114632476 @default.
- W4386596995 cites W3120430728 @default.
- W4386596995 cites W3171007011 @default.
- W4386596995 cites W3201190151 @default.
- W4386596995 cites W3205809313 @default.
- W4386596995 cites W4206494117 @default.
- W4386596995 cites W4296121024 @default.
- W4386596995 doi "https://doi.org/10.1109/icip49359.2023.10222058" @default.
- W4386596995 hasPublicationYear "2023" @default.
- W4386596995 type Work @default.
- W4386596995 citedByCount "0" @default.
- W4386596995 crossrefType "proceedings-article" @default.
- W4386596995 hasAuthorship W4386596995A5013857985 @default.
- W4386596995 hasAuthorship W4386596995A5037361439 @default.
- W4386596995 hasAuthorship W4386596995A5038789828 @default.
- W4386596995 hasAuthorship W4386596995A5075720299 @default.
- W4386596995 hasAuthorship W4386596995A5084554645 @default.
- W4386596995 hasBestOaLocation W43865969951 @default.
- W4386596995 hasConcept C115961682 @default.
- W4386596995 hasConcept C119857082 @default.
- W4386596995 hasConcept C121332964 @default.
- W4386596995 hasConcept C134306372 @default.
- W4386596995 hasConcept C136389625 @default.
- W4386596995 hasConcept C150899416 @default.
- W4386596995 hasConcept C154945302 @default.
- W4386596995 hasConcept C17744445 @default.
- W4386596995 hasConcept C199539241 @default.
- W4386596995 hasConcept C206345919 @default.
- W4386596995 hasConcept C2522767166 @default.
- W4386596995 hasConcept C2776145971 @default.
- W4386596995 hasConcept C2776359362 @default.
- W4386596995 hasConcept C2778755073 @default.
- W4386596995 hasConcept C31258907 @default.
- W4386596995 hasConcept C31601959 @default.
- W4386596995 hasConcept C33923547 @default.
- W4386596995 hasConcept C36503486 @default.
- W4386596995 hasConcept C41008148 @default.
- W4386596995 hasConcept C50644808 @default.
- W4386596995 hasConcept C62520636 @default.
- W4386596995 hasConcept C94625758 @default.
- W4386596995 hasConceptScore W4386596995C115961682 @default.
- W4386596995 hasConceptScore W4386596995C119857082 @default.
- W4386596995 hasConceptScore W4386596995C121332964 @default.
- W4386596995 hasConceptScore W4386596995C134306372 @default.
- W4386596995 hasConceptScore W4386596995C136389625 @default.
- W4386596995 hasConceptScore W4386596995C150899416 @default.
- W4386596995 hasConceptScore W4386596995C154945302 @default.
- W4386596995 hasConceptScore W4386596995C17744445 @default.
- W4386596995 hasConceptScore W4386596995C199539241 @default.
- W4386596995 hasConceptScore W4386596995C206345919 @default.
- W4386596995 hasConceptScore W4386596995C2522767166 @default.
- W4386596995 hasConceptScore W4386596995C2776145971 @default.
- W4386596995 hasConceptScore W4386596995C2776359362 @default.
- W4386596995 hasConceptScore W4386596995C2778755073 @default.
- W4386596995 hasConceptScore W4386596995C31258907 @default.
- W4386596995 hasConceptScore W4386596995C31601959 @default.
- W4386596995 hasConceptScore W4386596995C33923547 @default.
- W4386596995 hasConceptScore W4386596995C36503486 @default.
- W4386596995 hasConceptScore W4386596995C41008148 @default.
- W4386596995 hasConceptScore W4386596995C50644808 @default.
- W4386596995 hasConceptScore W4386596995C62520636 @default.
- W4386596995 hasConceptScore W4386596995C94625758 @default.
- W4386596995 hasLocation W43865969951 @default.
- W4386596995 hasOpenAccess W4386596995 @default.
- W4386596995 hasPrimaryLocation W43865969951 @default.
- W4386596995 hasRelatedWork W2951234401 @default.
- W4386596995 hasRelatedWork W2960456850 @default.
- W4386596995 hasRelatedWork W3021430260 @default.
- W4386596995 hasRelatedWork W3099805903 @default.
- W4386596995 hasRelatedWork W3193920202 @default.
- W4386596995 hasRelatedWork W4281645081 @default.
- W4386596995 hasRelatedWork W4308262314 @default.
- W4386596995 hasRelatedWork W4361193208 @default.
- W4386596995 hasRelatedWork W4382286161 @default.
- W4386596995 hasRelatedWork W4386213806 @default.
- W4386596995 isParatext "false" @default.
- W4386596995 isRetracted "false" @default.
- W4386596995 workType "article" @default.