Art and craft of effective scientific writing

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Art and Craft of Effective Scientific Writing Debdoot Sheet Technical Program Committee Chair, IEEE TechSym 2014 Editor in Chief, IEEE Tech. in Engg. Education Regional Editor, IEEE Pulse Reviewer, IEEE Trans. Med. Imaging, IEEE Trans. Image Processing, IET Trans. Image Processing, Neurocomputing

Transcript of Art and craft of effective scientific writing

Page 1: Art and craft of effective scientific writing

Art and Craft of Effective

Scientific Writing

Debdoot Sheet

Technical Program Committee Chair, IEEE TechSym 2014

Editor in Chief, IEEE Tech. in Engg. Education

Regional Editor, IEEE Pulse

Reviewer, IEEE Trans. Med. Imaging, IEEE Trans. Image Processing, IET Trans. Image Processing, Neurocomputing

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When do you start?

At the start of an Experiment

• Aim

• Hypothesis

• Objectives

• Cost functions

• Evaluations

• Deliverables expected

• Collaterals analyzed

• Conclusion

Starting to write a Paper

• Aim

• Objectives

• Preamble to the Problem

• State of Art

• Benchmarks

• Discussion

• Conclusion

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Anatomy of a

Paper

• Title

• Author list

• Abstract

• Body of the Paper

Introduction

Methods

Results

Discussion

Conclusion

• References

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Writing a Title

• Aim

• Methodology genre

Structure

_________________ of

_________________ through

_________________ for / in

_________________

• Computational Histology of

Retina through Transfer

Learning of Tissue Photon

Interaction in Optical

Coherence Tomography

• Hunting for necrosis in the

shadows for intravascular

ultrasound

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Organizing an

Abstract

• Age-related macular degeneration (AMD) is a major cause of irreversible visual loss in the elderly population. It is caused by deposition of drusenbetween the retinal pigment epithelium (RPE) and the Bruch's membrane. Optical coherence tomography (OCT) is clinically used for investigating AMD by examining the intact nature of RPE and Bruch's membrane, and their marginal separation. However, being located in the posterior part of the eye, grayscale OCT images do not offer good contrast between these layers and thus show decreased diagnostic specificity. In this paper we propose transfer learning of tissue specific photon interaction statistical physics in OCT for characterizing the anterior coat, RPE and posterior coat starting at Bruch's membrane. It is experimentally validated using images of 20 AMD + 20 healthy subjects, and 100 image per subject. Anterior coat is identified at accuracy of 0.98, RPE at 0.92, posterior coat at 0.99, substantiating its use for computational histology of retina.

•Word limits ~ 150 words

•Preamble (57 words)

•Aim (27 words)

•Methodology (29 words)

•Milestone (33 words)

•Conclusive statement

(8 words)

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Body of the Paper• Introduction (1 – 1.5 cols)

– Preamble

– Challenge

– Approach

– Impact

• State of Art (0.5 column)– Who else

– What else

– How else

• Formal Definition (100 words)

• Exposition to the Solution (1 page)– Framework

– How you start addressing

– Cost function

– Milestone

• Experiments and Results (1 column)

• Discussion (1 page)

• Conclusion (0.5 column)

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Figures

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The Explanatory Big Picture

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References

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