ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2504.02602
  4. Cited By
Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset

Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset

3 April 2025
Abdul Rehman
Talha Meraj
A. Minhas
A. Imran
Mohsen Ali
Waqas Sultani
M. Shah
ArXivPDFHTML

Papers citing "Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset"

20 / 20 papers shown
Title
A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells
  Detection with Morphological Attributes for Explainability
A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability
Abdul Rehman
Talha Meraj
A. Minhas
Ayisha Imran
Mohsen Ali
Waqas Sultani
77
2
0
17 May 2024
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain
  Adaptation in Object Detection
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection
M. L. Mekhalfi
Davide Boscaini
Fabio Poiesi
63
6
0
29 Aug 2023
WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological
  Attributes
WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes
Satoshi Tsutsui
Winnie Pang
Bihan Wen
37
15
0
23 Jun 2023
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object
  Detection
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
Hao Zhang
Feng Li
Shilong Liu
Lei Zhang
Hang Su
Jun Zhu
L. Ni
H. Shum
ViT
139
1,399
0
07 Mar 2022
SparseDet: Improving Sparsely Annotated Object Detection with
  Pseudo-positive Mining
SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining
Saksham Suri
Sai Saketh Rambhatla
Rama Chellappa
Abhinav Shrivastava
ObjD
46
11
0
12 Jan 2022
Towards Low-Cost and Efficient Malaria Detection
Towards Low-Cost and Efficient Malaria Detection
Waqas Sultani
Wajahat Nawaz
Syed Ashar Javed
M. S. Danish
A. Saadia
Mohsen Ali
15
17
0
26 Nov 2021
YOLOX: Exceeding YOLO Series in 2021
YOLOX: Exceeding YOLO Series in 2021
Zheng Ge
Songtao Liu
Feng Wang
Zeming Li
Jian Sun
ObjD
112
4,025
0
18 Jul 2021
Co-mining: Self-Supervised Learning for Sparsely Annotated Object
  Detection
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection
Tiancai Wang
Tong Yang
Jiale Cao
Xinming Zhang
34
47
0
03 Dec 2020
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Pei Sun
Rufeng Zhang
Yi Jiang
Tao Kong
Chenfeng Xu
...
Masayoshi Tomizuka
Lei Li
Zehuan Yuan
Changhu Wang
Ping Luo
ObjD
84
1,085
0
25 Nov 2020
Asymmetric Loss For Multi-Label Classification
Asymmetric Loss For Multi-Label Classification
Emanuel Ben-Baruch
T. Ridnik
Nadav Zamir
Asaf Noy
Itamar Friedman
M. Protter
Lihi Zelnik-Manor
74
528
0
29 Sep 2020
DetectoRS: Detecting Objects with Recursive Feature Pyramid and
  Switchable Atrous Convolution
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
Siyuan Qiao
Liang-Chieh Chen
Alan Yuille
ObjD
61
757
0
03 Jun 2020
SDCT-AuxNet$^θ$: DCT Augmented Stain Deconvolutional CNN with
  Auxiliary Classifier for Cancer Diagnosis
SDCT-AuxNetθ^θθ: DCT Augmented Stain Deconvolutional CNN with Auxiliary Classifier for Cancer Diagnosis
S. Gehlot
Anubha Gupta
Ritu Gupta
MedIm
35
54
0
30 May 2020
EfficientDet: Scalable and Efficient Object Detection
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan
Ruoming Pang
Quoc V. Le
88
4,996
0
20 Nov 2019
W-Net: A CNN-based Architecture for White Blood Cells Image
  Classification
W-Net: A CNN-based Architecture for White Blood Cells Image Classification
Changhun Jung
Mohammed Abuhamad
Jumabek Alikhanov
Aziz Mohaisen
Kyungja Han
Daehun Nyang
28
25
0
02 Oct 2019
DeepDistance: A Multi-task Deep Regression Model for Cell Detection in
  Inverted Microscopy Images
DeepDistance: A Multi-task Deep Regression Model for Cell Detection in Inverted Microscopy Images
C. Koyuncu
G. N. Gunesli
R. Cetin-Atalay
Cigdem Demir
32
25
0
29 Aug 2019
FCOS: Fully Convolutional One-Stage Object Detection
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian
Chunhua Shen
Hao Chen
Tong He
ObjD
100
4,969
0
02 Apr 2019
Sampling Techniques for Large-Scale Object Detection from Sparsely
  Annotated Objects
Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects
Yusuke Niitani
Takuya Akiba
Tommi Kerola
Toru Ogawa
Shotaro Sano
Shuji Suzuki
VLM
31
39
0
27 Nov 2018
Soft Sampling for Robust Object Detection
Soft Sampling for Robust Object Detection
Zhe Wu
Navaneeth Bodla
Bharat Singh
Mahyar Najibi
Rama Chellappa
L. Davis
ObjD
41
72
0
18 Jun 2018
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
307
27,018
0
20 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
421
21,951
0
09 Dec 2016
1