Published May 1, 2022 | Version v1

Composite Image Processing Technique to Enhance Segmentation of Ultrasound Images

Authors/Creators

  • 1. HBKU

Description

Thirty-five image processing techniques were applied to the original dataset (https://doi.org/10.5281/zenodo.1327317) to generate a new 35 dataset (each dataset consists of 999 ultrasound images).
Please cite our conference paper if you use any of these images.

Mahmood Alzubaidi, Marco Agus, Khaled Al-Thelaya, Michel Makhlouf, Khalid Alyafei, and Mowafa Househ. 2023. A Composite Image Processing Technique to Enhance Segmentation of Ultrasound Images. In Proceedings of the 2022 5th International Conference on Digital Medicine and Image Processing (DMIP '22). Association for Computing Machinery, New York, NY, USA, 1–7. https://doi.org/10.1145/3576938.3576939

Notes

Please cite our conference paper if you use any of these images. (A Composite Image Processing Technique to Enhance Segmentation of Ultrasound Images)

Files

Anisotropic diffusion.zip

Files (4.9 GB)

Name Size
md5:3d43c43c97e92e572fd8da04d1ee90bd
144.1 MB Preview Download
md5:d1e6abe2eb79338e62bd65668382734e
124.3 MB Preview Download
md5:d71b3a7d94c350aaee1f9349d1a66b10
95.3 MB Preview Download
md5:fc6d4a21ae96d71a5dbfa03f088486bc
330.1 MB Preview Download
md5:bfd72603543c0e7d9a448378086e9a1d
159.8 MB Preview Download
md5:ccd1cb64393920cd1e21928df3c4c02b
30.8 MB Preview Download
md5:a603fb26ee35d3f165129252677d39b6
117.4 MB Preview Download
md5:5bcd0f9b5a36709a991300280f0626a1
16.8 MB Preview Download
md5:d012c9dd14ec13030b763bf1244be495
129.7 MB Preview Download
md5:0bae64577920d0b91cad34588b4a3d81
161.9 MB Preview Download
md5:4bbad821b6c30970ecda8d7819b66edd
195.8 MB Preview Download
md5:fc636d49bfc8a85f2e15872f47637301
128.4 MB Preview Download
md5:1ce4de73ef08b45bed3ede4f2b4a760f
347.8 MB Preview Download
md5:77151d2a264d0827148a4b549883317a
18.2 MB Preview Download
md5:a2daaf42b4656e8b1022cefba7132b2b
246.5 MB Preview Download
md5:f7d0538e1dc5b1853173ba022506accc
17.9 MB Preview Download
md5:00ea10ec0a537db7eb03573a64f9be38
12.1 MB Preview Download
md5:8bc99f55e7163924b4316950afcc0440
230.1 MB Preview Download
md5:d11b3d3be2e2805135873547bed32c27
27.3 MB Preview Download
md5:8009d7565334d81225c948b26ed9b5f4
240.2 MB Preview Download
md5:dadb5f4092ff8214ccec5f0a22fef40d
350.8 MB Preview Download
md5:16a6c35bf787fd1a85c4cccc6e4a6daf
154.8 MB Preview Download
md5:2afff468e2b122059e36c1cc22d04336
12.3 MB Preview Download
md5:e60cefa792a218fa749df5d3b5477d7c
116.7 MB Preview Download
md5:36802419e07638531fade592ae14e703
14.1 MB Preview Download
md5:a97328c64fcf079dcfe3618a932fcbb3
198.1 MB Preview Download
md5:775a1ddc007e86457b33702bbaae8610
65.5 MB Preview Download
md5:58c009ccd08e3f9ed62ac389e6bab845
89.3 MB Preview Download
md5:fb7e585da54220eb2b73059759c1a417
174.6 MB Preview Download
md5:b1c6e0203a297b8ca4f90e5cfb72ee7f
118.8 MB Preview Download
md5:c1615a21926cbcb68e6b9d7d805dc267
130.8 MB Preview Download
md5:7307a0a68df28c3364d0df1b1860ee95
77.9 MB Preview Download
md5:59fb976f4b76c915942cc02416d4f26b
118.1 MB Preview Download
md5:9ddec9701d64346b3085ce8426932c1b
282.4 MB Preview Download
md5:ac96b1964d1359e71208c1ab1a4bc432
204.0 MB Preview Download

Additional details

Related works

Is published in
Conference paper: 10.1145/3576938.3576939 (DOI)