Matches in SemOpenAlex for { <https://semopenalex.org/work/W4287242112> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W4287242112 abstract "Kidney stones represent a considerable burden for public health-care systems. Ureteroscopy with laser lithotripsy has evolved as the most commonly used technique for the treatment of kidney stones. Automated segmentation of kidney stones and laser fiber is an important initial step to performing any automated quantitative analysis of the stones, particularly stone-size estimation, that helps the surgeon decide if the stone requires more fragmentation. Factors such as turbid fluid inside the cavity, specularities, motion blur due to kidney movements and camera motion, bleeding, and stone debris impact the quality of vision within the kidney and lead to extended operative times. To the best of our knowledge, this is the first attempt made towards multi-class segmentation in ureteroscopy and laser lithotripsy data. We propose an end-to-end CNN-based framework for the segmentation of stones and laser fiber. The proposed approach utilizes two sub-networks: HybResUNet, a version of residual U-Net, that uses residual connections in the encoder path of U-Net and a DVFNet that generates DVF predictions which are then used to prune the prediction maps. We also present ablation studies that combine dilated convolutions, recurrent and residual connections, ASPP and attention gate. We propose a compound loss function that improves our segmentation performance. We have also provided an ablation study to determine the optimal data augmentation strategy. Our qualitative and quantitative results illustrate that our proposed method outperforms SOTA methods such as UNet and DeepLabv3+ showing an improvement of 5.2% and 15.93%, respectively, for the combined mean of DSC and JI in our invivo test dataset. We also show that our proposed model generalizes better on a new clinical dataset showing a mean improvement of 25.4%, 20%, and 11% over UNet, HybResUNet, and DeepLabv3+, respectively, for the same metric." @default.
- W4287242112 created "2022-07-25" @default.
- W4287242112 creator A5015630900 @default.
- W4287242112 creator A5017461281 @default.
- W4287242112 creator A5027416348 @default.
- W4287242112 creator A5034527196 @default.
- W4287242112 creator A5080765299 @default.
- W4287242112 date "2021-04-02" @default.
- W4287242112 modified "2023-09-30" @default.
- W4287242112 title "Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy" @default.
- W4287242112 doi "https://doi.org/10.48550/arxiv.2104.01268" @default.
- W4287242112 hasPublicationYear "2021" @default.
- W4287242112 type Work @default.
- W4287242112 citedByCount "0" @default.
- W4287242112 crossrefType "posted-content" @default.
- W4287242112 hasAuthorship W4287242112A5015630900 @default.
- W4287242112 hasAuthorship W4287242112A5017461281 @default.
- W4287242112 hasAuthorship W4287242112A5027416348 @default.
- W4287242112 hasAuthorship W4287242112A5034527196 @default.
- W4287242112 hasAuthorship W4287242112A5080765299 @default.
- W4287242112 hasBestOaLocation W42872421121 @default.
- W4287242112 hasConcept C11413529 @default.
- W4287242112 hasConcept C141071460 @default.
- W4287242112 hasConcept C154945302 @default.
- W4287242112 hasConcept C155512373 @default.
- W4287242112 hasConcept C2776664737 @default.
- W4287242112 hasConcept C2777950166 @default.
- W4287242112 hasConcept C2779403450 @default.
- W4287242112 hasConcept C2780653459 @default.
- W4287242112 hasConcept C2781117068 @default.
- W4287242112 hasConcept C31972630 @default.
- W4287242112 hasConcept C41008148 @default.
- W4287242112 hasConcept C71924100 @default.
- W4287242112 hasConcept C89600930 @default.
- W4287242112 hasConceptScore W4287242112C11413529 @default.
- W4287242112 hasConceptScore W4287242112C141071460 @default.
- W4287242112 hasConceptScore W4287242112C154945302 @default.
- W4287242112 hasConceptScore W4287242112C155512373 @default.
- W4287242112 hasConceptScore W4287242112C2776664737 @default.
- W4287242112 hasConceptScore W4287242112C2777950166 @default.
- W4287242112 hasConceptScore W4287242112C2779403450 @default.
- W4287242112 hasConceptScore W4287242112C2780653459 @default.
- W4287242112 hasConceptScore W4287242112C2781117068 @default.
- W4287242112 hasConceptScore W4287242112C31972630 @default.
- W4287242112 hasConceptScore W4287242112C41008148 @default.
- W4287242112 hasConceptScore W4287242112C71924100 @default.
- W4287242112 hasConceptScore W4287242112C89600930 @default.
- W4287242112 hasLocation W42872421121 @default.
- W4287242112 hasOpenAccess W4287242112 @default.
- W4287242112 hasPrimaryLocation W42872421121 @default.
- W4287242112 hasRelatedWork W2006148105 @default.
- W4287242112 hasRelatedWork W2065389880 @default.
- W4287242112 hasRelatedWork W2077775728 @default.
- W4287242112 hasRelatedWork W2380501372 @default.
- W4287242112 hasRelatedWork W2611391674 @default.
- W4287242112 hasRelatedWork W2939277843 @default.
- W4287242112 hasRelatedWork W3031346428 @default.
- W4287242112 hasRelatedWork W3092784899 @default.
- W4287242112 hasRelatedWork W3154570447 @default.
- W4287242112 hasRelatedWork W4200283286 @default.
- W4287242112 isParatext "false" @default.
- W4287242112 isRetracted "false" @default.
- W4287242112 workType "article" @default.