Peer Review reports
From: Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning
| Original Submission | ||
|---|---|---|
| 4 Jul 2023 | Submitted | Original manuscript |
| 10 Jul 2023 | Author responded | Author comments - Naga Raju Gudhe |
| Resubmission - Version 2 | ||
| 10 Jul 2023 | Submitted | Manuscript version 2 |
| 11 Jul 2023 | Author responded | Author comments - Naga Raju Gudhe |
| Resubmission - Version 3 | ||
| 11 Jul 2023 | Submitted | Manuscript version 3 |
| 30 Jul 2023 | Reviewed | Reviewer Report - Qing-Qing Zhou |
| 17 Aug 2023 | Reviewed | Reviewer Report |
| 5 Sep 2023 | Author responded | Author comments - Naga Raju Gudhe |
| Resubmission - Version 4 | ||
| 5 Sep 2023 | Submitted | Manuscript version 4 |
| 6 Sep 2023 | Author responded | Author comments - Naga Raju Gudhe |
| Resubmission - Version 5 | ||
| 6 Sep 2023 | Submitted | Manuscript version 5 |
| 15 Sep 2023 | Reviewed | Reviewer Report - Qing-Qing Zhou |
| 4 Oct 2023 | Reviewed | Reviewer Report |
| Resubmission - Version 6 | ||
| Submitted | Manuscript version 6 | |
| Publishing | ||
| 5 Oct 2023 | Editorially accepted | |
| 19 Oct 2023 | Article published | 10.1186/s12880-023-01121-3 |
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