Susmita Ghosh

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In this paper, we propose a context-sensitive technique for unsupervised change detection in multitemporal remote sensing images. The technique is based on fuzzy clustering approach and takes care of spatial correlation between neighboring pixels of the difference image produced by comparing two images acquired on the same geographical area at different(More)
Leishmania donovani is considered the causative organism of visceral leishmaniasis (VL) and post-kala-azar dermal leishmaniasis (PKDL). Testing of 4/29 DNA samples from VL and PKDL patients as well as 2/7 field isolates showed an aberrant internal transcribed spacer 1 (ITS1) restriction fragment length polymorphism (RFLP) pattern, which upon sequencing(More)
In this paper, we propose a context-sensitive technique for unsupervised change detection in multitemporal remote sensing images. This technique is based on a modified Hopfield neural network architecture designed to model spatial correlation between neighboring pixels of the difference image produced by comparing images acquired on the same area at(More)
Semi-supervised classification methods make use of the large amounts of relatively inexpensive available unlabeled data along with the small amount of labeled data to improve the accuracy of the classification. This article presents a novel ‘self-training’ based semi-supervised classification algorithm using the property of aggregation pheromone found in(More)
With fourth-generation wireless technologies envisioned to provide high bandwidth for content-rich multimedia applications, next-generation mobile communication systems are well poised to lead the technology march. Incumbent with the new technology is the challenge of providing flexible, reconfigurable architectures capable of catering to the dynamics of(More)
Alteration of chromosome 9q22.3 region is an early and frequent event in head and neck squamous cell carcinoma (HNSCC). The aim of this study was to understand the association of candidate tumor suppressor genes PHF2, FANCC, PTCH1, and XPA located in this region in the development of HNSCC. The alterations (deletion, promoter methylation, mutation,(More)
The study of ant colonies behavior and their self-organizing capabilities is of interest to machine learning community, because it provides models of distributed adaptive organization which are useful to solve difficult optimization and classification problems among others. Social insects like ants, bees deposit pheromone (a type of chemical) in order to(More)
The aim of our study was to analyze the alterations of some candidate tumor suppressor genes (TSGs) viz. LIMD1, LTF, CDC25A, SCOTIN, RASSF1A and CACNA2D2 located in the chromosomal region 3p21.31 associated with the development of early dysplastic lesions of head and neck. In analysis of 72 dysplastic lesions and 116 squamous cell carcinoma of head and(More)
Deletion of chromosomal 3p12.3 was suggested to be associated with dysplastic lesions of head and neck. This region harbors two candidate tumor suppressors ROBO1/DUTT1, ROBO2 and two non-coding RNAs (ncRNAs) located at intron 2 of ROBO1/DUTT1. Aim of this study is to understand the role of these genes in development of head and neck squamous cell carcinoma.(More)
To understand the association of candidate tumour suppressor genes SH3GL2, p16(INK4a), p14(ARF), and p15(INK4b) in the pathogenesis of head and neck squamous cell carcinoma (HNSCC), we studied the deletion, mutation, and methylation of these genes in 61 dysplastic lesions and 94 HNSCC samples. In mild dysplasia, SH3GL2, p16(INK4a), and p14(ARF) showed a(More)