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MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a
  Study on Thyroid Cancer Diagnosis

MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis

10 November 2022
M. Gadermayr
Lukas Koller
M. Tschuchnig
Lea Maria Stangassinger
Christina Kreutzer
S. Couillard-Després
G. Oostingh
Anton Hittmair
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Papers citing "MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis"

7 / 7 papers shown
Title
Image Distillation for Safe Data Sharing in Histopathology
Image Distillation for Safe Data Sharing in Histopathology
Zhe Li
Bernhard Kainz
DD
OOD
MedIm
40
5
0
19 Jun 2024
AEM: Attention Entropy Maximization for Multiple Instance Learning based
  Whole Slide Image Classification
AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification
Yunlong Zhang
Zhongyi Shui
Yunxuan Sun
Honglin Li
Jingxiong Li
Chenglu Zhu
Lin Yang
31
0
0
18 Jun 2024
Slot-Mixup with Subsampling: A Simple Regularization for WSI
  Classification
Slot-Mixup with Subsampling: A Simple Regularization for WSI Classification
Seongho Keum
Sanghyun Kim
Soojeong Lee
Juho Lee
37
2
0
29 Nov 2023
MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data
  Augmentation for Whole Slide Image Classification
MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification
M. Gadermayr
Lukas Koller
M. Tschuchnig
Lea Maria Stangassinger
Christina Kreutzer
S. Couillard-Després
G. Oostingh
Anton Hittmair
22
0
0
06 Nov 2023
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and
  Subtyping in Whole Slide Images
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
Olga Fourkioti
Matt De Vries
Chris Bakal
22
4
0
09 May 2023
AugDiff: Diffusion based Feature Augmentation for Multiple Instance
  Learning in Whole Slide Image
AugDiff: Diffusion based Feature Augmentation for Multiple Instance Learning in Whole Slide Image
Zhucheng Shao
Liuxi Dai
Yifeng Wang
Haoqian Wang
Yongbing Zhang
MedIm
DiffM
189
0
0
11 Mar 2023
Multiple Instance Learning for Digital Pathology: A Review on the
  State-of-the-Art, Limitations & Future Potential
Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential
M. Gadermayr
M. Tschuchnig
19
59
0
09 Jun 2022
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