Search Results for author: Peiwu Qin

Found 19 papers, 5 papers with code

HCMA-UNet: A Hybrid CNN-Mamba UNet with Inter-Slice Self-Attention for Efficient Breast Cancer Segmentation

no code implementations1 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.

Computational Efficiency Lesion Segmentation +2

SJTU:Spatial judgments in multimodal models towards unified segmentation through coordinate detection

1 code implementation3 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.

Image Segmentation object-detection +3

Grid-augmented vision: A simple yet effective approach for enhanced spatial understanding in multi-modal agents

1 code implementation27 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.

Autonomous Navigation Object Recognition +3

pLDDT-Predictor: High-speed Protein Screening Using Transformer and ESM2

1 code implementation11 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 ($\text{average RMSD} < 1. 5\text{\AA}$).

Computational Efficiency Protein Structure Prediction

COVID-19: post infection implications in different age groups, mechanism, diagnosis, effective prevention, treatment, and recommendations

no code implementations2 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.

Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy

no code implementations12 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.

Benchmarking Cell Segmentation +4

Pneumonia App: a mobile application for efficient pediatric pneumonia diagnosis using explainable convolutional neural networks (CNN)

no code implementations31 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.

Cognitive resilience: Unraveling the proficiency of image-captioning models to interpret masked visual content

1 code implementation23 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.

Descriptive Image Captioning

LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classification

1 code implementation23 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.

Language Modeling Language Modelling +3

Harnessing Intra-group Variations Via a Population-Level Context for Pathology Detection

no code implementations4 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.

IRFundusSet: An Integrated Retinal Fundus Dataset with a Harmonized Healthy Label

no code implementations18 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.

Management

GAME: Generalized deep learning model towards multimodal data integration for early screening of adolescent mental disorders

no code implementations18 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.

Data Integration

Prompt-enhanced Hierarchical Transformer Elevating Cardiopulmonary Resuscitation Instruction via Temporal Action Segmentation

no code implementations31 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.

Action Segmentation Segmentation +1

Current and perspective sensing methods for monkeypox virus: a reemerging zoonosis in its infancy

no code implementations10 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.

Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference

no code implementations6 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.

Computed Tomography (CT) Image Segmentation +3

RCMNet: A deep learning model assists CAR-T therapy for leukemia

no code implementations6 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.

Image Classification Transfer Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.