Who Cited It

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

2019 · Journal of Imaging Informatics in Medicine · 1,646 citations · 0 from inside this corpus

Mohammad Hesam Hesamian low, Wenjing Jia, Xiangjian He, Paul Kennedy

Deep learning-based image segmentation is by now firmly established as a robust tool in image segmentation. It has been widely used to separate homogeneous areas as the first and critical component of diagnosis and treatment pipeline. In this article, we present a critical appraisal of popular methods that have employed deep-learning techniques for medical image segmentation. Moreover, we summarize the most common challenges incurred and suggest possible solutions.

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges (2019)Deep Learning Techniques for …Long Short-Term Memory (1997)Long Short-Term MemoryDropout: a simple way to prevent neural networks from overfitting (2014)Dropout: a simple way to prev…Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2024)Batch Normalization: Accelera…A survey on deep learning in medical image analysis (2017)A survey on deep learning in …Deep Learning in Medical Image Analysis (2017)Deep Learning in Medical Imag…
5 of 5 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
Dropout: a simple way to prevent neural networks from overfitting201434,236
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…202415,663
A survey on deep learning in medical image analysis201715,110
Deep Learning in Medical Image Analysis20174,917

Links

DOI · Open access copy · OpenAlex record

Topics

AI in cancer detectionComputer Science
Radiomics and Machine Learning in Medical ImagingMedicine
Medical Image Segmentation TechniquesComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports4 author record(s) attached.
  • supports106 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:56+00:00.

sha256 7bc26169e93749d1…