Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism
Conclusion: A multiscale feature pyramid network effectively reduces the semantic gap, and the bidirectional cross-attention mechanism facilitates feature alignment between the encoding and decoding stages.
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/ijbi/7560099 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849706639364456448 |
|---|---|
| author | Yu Xiao Xin Yang Sijuan Huang Lihua Guo |
| author_facet | Yu Xiao Xin Yang Sijuan Huang Lihua Guo |
| author_sort | Yu Xiao |
| collection | DOAJ |
| description | Conclusion: A multiscale feature pyramid network effectively reduces the semantic gap, and the bidirectional cross-attention mechanism facilitates feature alignment between the encoding and decoding stages. |
| format | Article |
| id | doaj-art-006acb1b985644d2978466b7fbdbe662 |
| institution | DOAJ |
| issn | 1687-4196 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-006acb1b985644d2978466b7fbdbe6622025-08-20T03:16:08ZengWileyInternational Journal of Biomedical Imaging1687-41962025-01-01202510.1155/ijbi/7560099Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention MechanismYu Xiao0Xin Yang1Sijuan Huang2Lihua Guo3School of Electronic and Information EngineeringState Key Laboratory of Oncology in South ChinaState Key Laboratory of Oncology in South ChinaSchool of Electronic and Information EngineeringConclusion: A multiscale feature pyramid network effectively reduces the semantic gap, and the bidirectional cross-attention mechanism facilitates feature alignment between the encoding and decoding stages.http://dx.doi.org/10.1155/ijbi/7560099 |
| spellingShingle | Yu Xiao Xin Yang Sijuan Huang Lihua Guo Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism International Journal of Biomedical Imaging |
| title | Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism |
| title_full | Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism |
| title_fullStr | Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism |
| title_full_unstemmed | Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism |
| title_short | Enhancing Deep Learning–Based Subabdominal MR Image Segmentation During Rectal Cancer Treatment: Exploiting Multiscale Feature Pyramid Network and Bidirectional Cross-Attention Mechanism |
| title_sort | enhancing deep learning based subabdominal mr image segmentation during rectal cancer treatment exploiting multiscale feature pyramid network and bidirectional cross attention mechanism |
| url | http://dx.doi.org/10.1155/ijbi/7560099 |
| work_keys_str_mv | AT yuxiao enhancingdeeplearningbasedsubabdominalmrimagesegmentationduringrectalcancertreatmentexploitingmultiscalefeaturepyramidnetworkandbidirectionalcrossattentionmechanism AT xinyang enhancingdeeplearningbasedsubabdominalmrimagesegmentationduringrectalcancertreatmentexploitingmultiscalefeaturepyramidnetworkandbidirectionalcrossattentionmechanism AT sijuanhuang enhancingdeeplearningbasedsubabdominalmrimagesegmentationduringrectalcancertreatmentexploitingmultiscalefeaturepyramidnetworkandbidirectionalcrossattentionmechanism AT lihuaguo enhancingdeeplearningbasedsubabdominalmrimagesegmentationduringrectalcancertreatmentexploitingmultiscalefeaturepyramidnetworkandbidirectionalcrossattentionmechanism |