Zobrazeno 1 - 10
of 2 419
pro vyhledávání: '"Li, Jiawen"'
Autor:
Ruchka, Pavel, Kushwaha, Alok, Marathe, Jessica A., Xiang, Lei, Chen, Rouyan, Kirk, Rodney, Tan, Joanne T. M., Bursill, Christina A., Verjans, Johan, Thiele, Simon, Fitridge, Robert, McLaughlin, Robert A., Psaltis, Peter J., Giessen, Harald, Li, Jiawen
A fundamental challenge in endoscopy is how to fabricate a small fiber-optic probe that can achieve comparable function to probes with large, complicated optics (e.g., high resolution and extended depth of focus). To achieve high resolution over an e
Externí odkaz:
http://arxiv.org/abs/2407.14825
The two primary types of Hematoxylin and Eosin (H&E) slides in histopathology are Formalin-Fixed Paraffin-Embedded (FFPE) and Fresh Frozen (FF). FFPE slides offer high quality histopathological images but require a labor-intensive acquisition process
Externí odkaz:
http://arxiv.org/abs/2406.18054
Message passing neural networks have demonstrated significant efficacy in predicting molecular interactions. Introducing equivariant vectorial representations augments expressivity by capturing geometric data symmetries, thereby improving model accur
Externí odkaz:
http://arxiv.org/abs/2406.13265
Image captioning has long been regarded as a fundamental task in visual understanding. Recently, however, few large vision-language model (LVLM) research discusses model's image captioning performance because of the outdated short-caption benchmarks
Externí odkaz:
http://arxiv.org/abs/2405.19092
Autor:
Zhang, Yuan, Xiao, Fei, Huang, Tao, Fan, Chun-Kai, Dong, Hongyuan, Li, Jiawen, Wang, Jiacong, Cheng, Kuan, Zhang, Shanghang, Guo, Haoyuan
Large vision-language models (LVLMs) have recently achieved rapid progress, exhibiting great perception and reasoning abilities concerning visual information. However, when faced with prompts in different sizes of solution spaces, LVLMs fail to alway
Externí odkaz:
http://arxiv.org/abs/2405.14156
This paper first proposes the Halfway Escape Optimization (HEO) algorithm, a quantum-inspired metaheuristic designed to address general optimization problems. The HEO mimics the effects between quantum such as tunneling, entanglement. After the intro
Externí odkaz:
http://arxiv.org/abs/2405.02850
Autor:
Chu, Hongbo, Sun, Qiehe, Li, Jiawen, Chen, Yuxuan, Zhang, Lizhong, Guan, Tian, Han, Anjia, He, Yonghong
Histopathological whole slide image (WSI) analysis with deep learning has become a research focus in computational pathology. The current paradigm is mainly based on multiple instance learning (MIL), in which approaches with Transformer as the backbo
Externí odkaz:
http://arxiv.org/abs/2403.10858
Histopathological whole slide images (WSIs) classification has become a foundation task in medical microscopic imaging processing. Prevailing approaches involve learning WSIs as instance-bag representations, emphasizing significant instances but stru
Externí odkaz:
http://arxiv.org/abs/2403.07719
Autor:
Zhang Dian, Li Jiawen, Zhang Chao, Xue Jinliang, Li Peihao, Shang Kai, Zhang Xiao, Lang Baoping
Publikováno v:
Open Life Sciences, Vol 19, Iss 1, Pp 966-97 (2024)
Many cancers exhibit resistance to chemotherapy, resulting in a poor prognosis. The transcription factor NRF2, activated in response to cellular antioxidants, plays a crucial role in cell survival, proliferation, and resistance to chemotherapy. This
Externí odkaz:
https://doaj.org/article/2e067590031d466ab45c10648b6f4605
Due to its superior efficiency in utilizing annotations and addressing gigapixel-sized images, multiple instance learning (MIL) has shown great promise as a framework for whole slide image (WSI) classification in digital pathology diagnosis. However,
Externí odkaz:
http://arxiv.org/abs/2307.06344