{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:40:54Z","timestamp":1757619654219,"version":"3.44.0"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819699070"},{"type":"electronic","value":"9789819699087"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-9908-7_26","type":"book-chapter","created":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T16:26:11Z","timestamp":1753374371000},"page":"313-324","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["InstCNet: A Dual-Branch Network for Enhanced Tumor Diagnosis via Joint Segmentation and Classification"],"prefix":"10.1007","author":[{"given":"Zhihui","family":"Lai","sequence":"first","affiliation":[]},{"given":"Xingxin","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Heng","family":"Kong","sequence":"additional","affiliation":[]},{"given":"Israr","family":"Hussain","sequence":"additional","affiliation":[]},{"given":"Xiaoling","family":"Luo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,7,25]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Zou, Z., Chen, K., Shi, Z., Guo, Y., Ye, J.: Object detection in 20 years: a survey. In: Proceedings of the IEEE, pp. 257\u2013276 (2023)","DOI":"10.1109\/JPROC.2023.3238524"},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"Li, Y., Li, X., Xiao, C., Li, H., Zhang, W.: EACNet: enhanced asymmetric convolution for real-time semantic segmentation. IEEE Signal Process. Lett. 234\u2013238 (2021)","DOI":"10.1109\/LSP.2021.3051845"},{"key":"26_CR3","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/s42979-022-01407-3","volume":"3","author":"R Sharma","year":"2022","unstructured":"Sharma, R., Saqib, M., Lin, C.-T., Blumenstein, M.: A survey on object instance segmentation. SN Comput. Sci. 3, 499 (2022)","journal-title":"SN Comput. Sci."},{"key":"26_CR4","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask R-CNN. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2961\u20132969 (2017)","DOI":"10.1109\/ICCV.2017.322"},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Bolya, D., Zhou, C., Xiao, F., Lee, Y.J.: Yolact: real-time instance segmentation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9157\u20139166 (2019)","DOI":"10.1109\/ICCV.2019.00925"},{"key":"26_CR6","doi-asserted-by":"crossref","unstructured":"Zhang, T., Wei, S., Ji, S.: E2ec: an end-to-end contour-based method for high-quality high-speed instance segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4443\u20134452 (2022)","DOI":"10.1109\/CVPR52688.2022.00440"},{"key":"26_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110323","volume":"150","author":"S Yi","year":"2024","unstructured":"Yi, S., et al.: IDC-Net: breast cancer classification network based on BI-RADS 4. Pattern Recogn. 150, 110323 (2024)","journal-title":"Pattern Recogn."},{"key":"26_CR8","doi-asserted-by":"crossref","unstructured":"Rangayyan, R.M., El-Faramawy, N.M., Desautels, J.L., Alim, O.A.: Measures of acutance and shape for classification of breast tumors. IEEE Trans. Med. Imaging 799\u2013810 (1997)","DOI":"10.1109\/42.650876"},{"key":"26_CR9","doi-asserted-by":"crossref","unstructured":"Midya, A., Rabidas, R., Sadhu, A., Chakraborty, J.: Edge weighted local texture features for the categorization of mammographic masses. J. Med. Biol. Eng. 457\u2013468 (2018)","DOI":"10.1007\/s40846-017-0316-3"},{"key":"26_CR10","doi-asserted-by":"crossref","unstructured":"Zhu, M., Chen, Z., Yuan, Y.: DSI-Net: Deep synergistic interaction network for joint classification and segmentation with endoscope images. IEEE Trans. Med. Imaging 3315\u20133325 (2021)","DOI":"10.1109\/TMI.2021.3083586"},{"key":"26_CR11","doi-asserted-by":"crossref","unstructured":"Wang, X., et al.: Joint learning of 3D lesion segmentation and classification for explainable COVID-19 diagnosis. IEEE Trans. Med. Imaging 2463\u20132476 (2021)","DOI":"10.1109\/TMI.2021.3079709"},{"key":"26_CR12","doi-asserted-by":"crossref","unstructured":"Xu, G., Jia, W., Wu, T., Chen, L., Gao, G.: HAFormer: unleashing the power of hierarchy-aware features for lightweight semantic segmentation. IEEE Trans. Image Process. (2024)","DOI":"10.1109\/TIP.2024.3425048"},{"key":"26_CR13","doi-asserted-by":"crossref","unstructured":"Wu, H., et al.: CVT: introducing convolutions to vision transformers. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 22\u201331 (2021)","DOI":"10.1109\/ICCV48922.2021.00009"},{"key":"26_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109526","volume":"139","author":"X Yang","year":"2023","unstructured":"Yang, X., et al.: Triple-attention interaction network for breast tumor classification based on multi-modality images. Pattern Recogn. 139, 109526 (2023)","journal-title":"Pattern Recogn."},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Zhang, H., Hu, W., Wang, X.: Fcaformer: forward cross attention in hybrid vision transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 6060\u20136069 (2023)","DOI":"10.1109\/ICCV51070.2023.00557"},{"key":"26_CR16","doi-asserted-by":"crossref","unstructured":"Ding, X., Guo, Y., Ding, G., Han, J.: Acnet: Strengthening the kernel skeletons for powerful cnn via asymmetric convolution blocks. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 1911\u20131920 (2019)","DOI":"10.1109\/ICCV.2019.00200"},{"key":"26_CR17","doi-asserted-by":"crossref","unstructured":"Liu, J., et al.: Swin-umamba: Mamba-based unet with imagenet-based pretraining. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 615\u2013625. Springer (2024)","DOI":"10.1007\/978-3-031-72114-4_59"},{"key":"26_CR18","unstructured":"Bochkovskiy, A., Wang, C.Y., Liao, H.Y.M.: Yolov4: optimal speed and accuracy of object detection. arXiv preprint arXiv:200410934 (2020)"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-9908-7_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,7]],"date-time":"2025-09-07T22:05:39Z","timestamp":1757282739000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-9908-7_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819699070","9789819699087"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-9908-7_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"25 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}