Jelajahi Kiriman Penulis Mengko, Tati, Latifah, R

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Segmentation and Area Measurement in Abnormal Pap Smear Images Using Color Canals Modification with Canny Edge Detection

21 Jul 2020
Riana, Dwiza; Dewi, Dyah, Shanti, Octorina; Widyantoro, Dwi, H; Mengko, Tati, Latifah, R;. (2012)

This paper presents a cell nucleus segmentation and area measurement of Pap smear images by means of modification of color canals with Canny edge detection and morphological reconstruction methods. Cell nucleus characterization plays an important role for classifying the degree of abnormality in...

Inggris
Seminar / Seminar Internasional

Segmentation of Overlapping Cytoplasm and Overlapped Areas in Pap smear Images

04 Jul 2020
Riana, Dwiza; Hidayanto, Achmad, Nizar; Widyantoro, Dwi, H; Mengko, tati, Latifah, R; Kalsoem, Oemie;. (2017)

The ample of overlapping cells that complicate the slides reading and interpretation by pathologists has become a problem encountered in the conventional retrieval result. Another delicate problem is determining and analyzing the nucleus in the Pap smear of microcospic cells with inflammatory. A...

Program Studi. | Image Processing. | Inggris
Seminar / Seminar Internasional Bereputasi

Perbandingan Segmentasi Luas Nukleus Sel Normal dan Abnormal Pap Smear Menggunakan Operasi Kanal Warna dengan Deteksi Tepi Canny dan Rekonstruksi Morfologi

19 Sep 2019
Riana, Dwiza, Widyantoro, Dwi, H; Mengko, Tati, Latifah, R;. (2013)

This paper presents a comparison of cell nucleus segmentation and area measurement of Pap smear images by means of modification of color canals with Canny edge detection and morphological reconstruction methods. Regular Pap smear screening is the most successful attempt of medical science and practi...

Program Studi. | Image Processing. | Indonesia
Jurnal / Jurnal Nasional Tidak Terakreditasi

Inflammatory Cell Extraction and Nuclei Detection in Pap Smear Images

14 Jul 2019
Riana,Dwiza; Plissiti,Marina, E; Nikou, Christophorus; Widyantoro, Dwi, H; Mengko, Tati, latifah, R; Kalsoem, Oemie. (2015)

The automated diagnosis of cervical cancer in Pap smear images is a difficult though extremely important procedure. In order to obtain reliable diagnostic information, the nuclei and their characteristics must be correctly identified and evaluated. However, the presence of inflammatory and overlappi...

Program Studi. | Image Processing. | Inggris
Jurnal / Jurnal Internasional

Color Canals Modification with Canny Edge Detection and Morphological Reconstruction for Cell Nucleus Segmentation and Area Measurement in Normal Pap Smear Images

Riana, Dwiza; Dewi, Dyah, Ekashanti, Octorina; Widyantoro, Dwi, H; Mengko, Tati, Latifah, R;. (2014)

This paper presents a cell nucleus segmentation and area measurement of Pap smear images by means ofmodification of color canals with Canny edge detection and morphological reconstruction methods. Cell nucleuscharacterization plays an important role for classifying the degree of abnormality in cervi...

Program Studi. | Image Processing. | Inggris
Seminar / Seminar Internasional

SEGMENTASI LUAS NUKLEUS SEL NORMAL SUPERFISIAL PAP SMEAR MENGGUNAKAN OPERASI KANAL WARNA DAN DETEKSI TEPI

Riana, Dwiza; Dewi, Dyah, E .O ; Widyantoro, Dwi, H; Mengko, Tati, Latifah, R.;. (2012)

Persoalan terbesar dalam deteksi dini otomatis citra  mikroskopik Pap smear adalah segmentasi citra sel. Sel mikroskopik Pap smear dideteksi oleh ahli patologi dan dokter untuk menentukan sel tersebut normal atau tidak. Dilakukan perbandingan luas antara modifikasi operasi kanal warna Red, ...

Program Studi. | Image Processing. | Indonesia
Seminar / Seminar Nasional

Ekstraksi dan Klasifikasi Tekstur CitraSel Nukleus Pap Smear

Riana, Dwiza; Widyanoro, Dwi, H; Mengko, Tati, Latifah, R;. (2013)

This paper presents a texture analysis and comparison of clasification ofcell nucleus images. Texture analysis will be focused on the nuclei of Image Pap smear cell. The method of analysis texture is the statistical second order of Grey Level Co-occurrence Matrix (GLCM). There are five parameter t...

Program Studi. | Image Processing. | Indonesia
Jurnal / Jurnal Nasional Tidak Terakreditasi
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