medical-1

Blood Cell Detection

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

These leaderboards are used to track progress in blood-cell-detection-1

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Dataset

Best Model

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Libraries

i

Use these libraries to find blood-cell-detection-1 models and implementations

Datasets

BBBC041

Raw-Microscopy and Raw-Drone

uBench

LeukemiaAttri

Subtasks

No subtasks available.

Most implemented papers

Contour Proposal Networks for Biomedical Instance Segmentation

Eric Upschulte, S. Harmeling, K. Amunts, Timo Dickscheid•Tue Apr 06 2021

A conceptually simple framework for object instance segmentation, called Contour Proposal Network (CPN), which detects possibly overlapping objects in an image while simultaneously fitting closed object contours using a fixed-size representation based on Fourier Descriptors.

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Machine learning approach of automatic identification and counting of blood cells

Mohammad Mahmudul Alam, M. Islam•Tue Jul 16 2019

The authors present a machine learning approach for automatic identification and counting of three types of blood cells using ‘you only look once’ (YOLO) object detection and classification algorithm and found that the learned models are generalised.

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CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer

Ming Kang, C. Ting, F. F. Ting, R. Phan•Sun Jun 25 2023

This paper proposes a CST-YOLO model for blood cell detection based on YOLOv7 architecture and enhances it with the CNN-Swin Transformer (CST), which is a new attempt at CNN-Transformer fusion.

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LSM-YOLO: A Compact and Effective ROI Detector for Medical Detection

Zhongwen Yu, Qiu Guan, Jianmin Yang, Zhiqiang Yang, Qianwei Zhou, Yang Chen, Feng Chen•Sun Aug 25 2024

A novel model named Lightweight Shunt Matching-YOLO (LSM-YOLO), with Lightweight Adaptive Extraction (LAE) and Multipath Shunt Feature Matching (MSFM) is proposed, which achieves state-of-the-art performance with minimal parameter cost on the above three datasets.

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