no code implementations • 1 Jan 2025 • Haoxuan Li, Wei Song, Peiwu Qin, Xi Yuan, Zhenglin Chen
To address these challenges, this study proposes a novel hybrid segmentation network, HCMA-UNet, for lesion segmentation of breast cancer.
1 code implementation • 3 Dec 2024 • Joongwon Chae, Zhenyu Wang, Peiwu Qin
This paper introduces SJTU: Spatial Judgments in Multimodal Models - Towards Unified Segmentation through Coordinate Detection, a framework that leverages spatial coordinate understanding to bridge vision-language interaction and precise segmentation, enabling accurate target identification through natural language instructions.
1 code implementation • 27 Nov 2024 • Joongwon Chae, Zhenyu Wang, Lian Zhang, Dongmei Yu, Peiwu Qin
Inspired by how humans use grid-based references like chess boards and maps, we propose introducing explicit visual position encoding through a simple grid overlay approach.
1 code implementation • 11 Oct 2024 • Joongwon Chae, Zhenyu Wang, Ijaz Gul, Jiansong Ji, Zhenglin Chen, Peiwu Qin
Recent advancements in protein structure prediction, particularly AlphaFold2, have revolutionized structural biology by achieving near-experimental accuracy ($\text{average RMSD} < 1. 5\text{\AA}$).
no code implementations • 2 Jun 2024 • Muhammad Akmal Raheem, Muhammad Ajwad Rahim, Ijaz Gul, Md. Reyad-ul-Ferdous, Liyan Le, Junguo Hui, Shuiwei Xia, Minjiang Chen, Dongmei Yu, Vijay Pandey, Peiwu Qin, Jiansong Ji
SARS-CoV-2, the highly contagious pathogen responsible for the COVID-19 pandemic, has persistent effects that begin four weeks after initial infection and last for an undetermined duration.
no code implementations • 23 Apr 2024 • Wen Liang, Peipei Ran, Mengchao Bai, Xiao Liu, P. Bilha Githinji, Wei Zhao, Peiwu Qin
Salient object detection (SOD) aims at finding the most salient objects in images and outputs pixel-level binary masks.
no code implementations • 12 Apr 2024 • Boyuan Peng, Jiaju Chen, P. Bilha Githinji, Ijaz Gul, Qihui Ye, Minjiang Chen, Peiwu Qin, Xingru Huang, Chenggang Yan, Dongmei Yu, Jiansong Ji, Zhenglin Chen
By simulating different types of aberrations, including astigmatism, coma, spherical aberration, trefoil, and mixed aberrations, we conduct a thorough evaluation of various cell instance segmentation models using the DynamicNuclearNet (DNN) and LIVECell datasets, representing fluorescence and bright field microscopy cell datasets, respectively.
no code implementations • 31 Mar 2024 • Jiaming Deng, Zhenglin Chen, Minjiang Chen, Lulu Xu, Jiaqi Yang, Zhendong Luo, Peiwu Qin
Mycoplasma pneumoniae pneumonia (MPP) poses significant diagnostic challenges in pediatric healthcare, especially in regions like China where it's prevalent.
1 code implementation • 23 Mar 2024 • Zhicheng Du, Zhaotian Xie, Huazhang Ying, Likun Zhang, Peiwu Qin
This study explores the ability of Image Captioning (IC) models to decode masked visual content sourced from diverse datasets.
1 code implementation • 23 Mar 2024 • Zhicheng Du, Zhaotian Xie, Yan Tong, Peiwu Qin
This study constructs the LanguAge Model with Prompt EngineeRing (LAMPER) framework, designed to systematically evaluate the adaptability of pre-trained language models (PLMs) in accommodating diverse prompts and their integration in zero-shot time series (TS) classification.
no code implementations • 4 Mar 2024 • P. Bilha Githinji, Xi Yuan, Zhenglin Chen, Ijaz Gul, Dingqi Shang, Wen Liang, Jianming Deng, Dan Zeng, Dongmei Yu, Chenggang Yan, Peiwu Qin
Realizing sufficient separability between the distributions of healthy and pathological samples is a critical obstacle for pathology detection convolutional models.
no code implementations • 18 Feb 2024 • P. Bilha Githinji, Keming Zhao, Jiantao Wang, Peiwu Qin
Ocular conditions are a global concern and computational tools utilizing retinal fundus color photographs can aid in routine screening and management.
no code implementations • 18 Sep 2023 • Zhicheng Du, Chenyao Jiang, Xi Yuan, Shiyao Zhai, Zhengyang Lei, Shuyue Ma, Yang Liu, Qihui Ye, Chufan Xiao, Qiming Huang, Ming Xu, Dongmei Yu, Peiwu Qin
The timely identification of mental disorders in adolescents is a global public health challenge. Single factor is difficult to detect the abnormality due to its complex and subtle nature.
no code implementations • 31 Aug 2023 • Yang Liu, Xiaoyun Zhong, Shiyao Zhai, Zhicheng Du, Zhenyuan Gao, Qiming Huang, Canyang Zhang, Bin Jiang, Vijay Kumar Pandey, Sanyang Han, Runming Wang, Yuxing Han, Peiwu Qin
The vast majority of people who suffer unexpected cardiac arrest are performed cardiopulmonary resuscitation (CPR) by passersby in a desperate attempt to restore life, but endeavors turn out to be fruitless on account of disqualification.
no code implementations • 31 Aug 2023 • Chenyao Jiang, Shiyao Zhai, Hengrui Song, Yuqing Ma, Yachen Fan, Yancheng Fang, Dongmei Yu, Canyang Zhang, Sanyang Han, Runming Wang, Yong liu, Jianbo Li, Peiwu Qin
The best result for YOLOXs model with tiling strategy is 72. 3 mAP. 5, while the best result without tiling strategy is 71. 2.
no code implementations • 10 Aug 2022 • Ijaz Gul, Changyue Liu, Yuan Xi, Zhicheng Du, Shiyao Zhai, Zhengyang Lei, Chen Qun, Muhammad Akmal Raheem, Qian He, Zhang Haihui, Canyang Zhang, Runming Wang, Sanyang Han, Du Ke, Peiwu Qin
Objectives The review is dedicated to evaluate the current monkeypox virus (MPXV) detection methods, discuss their pros and cons, and provide recommended solutions to the problems.
no code implementations • 31 Jul 2022 • Muhammad Hassan, Haifei Guan, Aikaterini Melliou, Yuqi Wang, Qianhui Sun, Sen Zeng, Wen Liang, Yiwei Zhang, Ziheng Zhang, Qiuyue Hu, Yang Liu, Shunkai Shi, Lin An, Shuyue Ma, Ijaz Gul, Muhammad Akmal Rahee, Zhou You, Canyang Zhang, Vijay Kumar Pandey, Yuxing Han, Yongbing Zhang, Ming Xu, Qiming Huang, Jiefu Tan, Qi Xing, Peiwu Qin, Dongmei Yu
Neural networks have been rapidly expanding in recent years, with novel strategies and applications.
no code implementations • 6 May 2022 • Yang Liu, Ersi Zhang, Lulu Xu, Chufan Xiao, Xiaoyun Zhong, Lijin Lian, Fang Li, Bin Jiang, Yuhan Dong, Lan Ma, Qiming Huang, Ming Xu, Yongbing Zhang, Dongmei Yu, Chenggang Yan, Peiwu Qin
Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) scans or computed tomography (CT) scans, which allow the localization and diagnosis of lesions.
no code implementations • 6 May 2022 • Ruitao Zhang, Xueying Han, Ijaz Gul, Shiyao Zhai, Ying Liu, Yongbing Zhang, Yuhan Dong, Lan Ma, Dongmei Yu, Jin Zhou, Peiwu Qin
Although testing on the CAR-T cells dataset, a decent performance is observed, which is attributed to the limited size of the dataset.